EY Signals
One of the Big Four professional services firms providing audit, tax, consulting, and advisory services. Operates in over 150 countries helping businesses navigate regulatory and strategic challenges.
This page is a Naftiko Signals analysis of EY’s technology investments. We mine public workforce signals (job postings, press releases, newsroom content) against a curated vocabulary of services, tools, concepts, and standards, then aggregate the matches into 41 scoring categories that describe investment depth across AI readiness, cloud and data infrastructure, integration, operations, governance, and more.
For EY we analyzed 1759 areas, 322 services, 197 tools, and 203 standards to produce an overall signal score of 3052 — covering AI readiness, cloud infrastructure, open-source adoption, security posture, and operational maturity.
How to read this page: Start with the Impact Report for a narrative summary. Open Impact Pages for a layered breakdown of investment depth across 11 technology layers. The Radar plots every signal on a maturity ring (Initial → Developing → Established → Optimizing). Capabilities lists EY-specific Naftiko agent workflows mapping services to business outcomes. Navigation highlights 5 featured recommendations plus 45 further opportunities grouped by theme. Signals, Areas, Services, Tools, and Standards are the raw detections if you want to drill down. Why? explains the methodology and audience.
EY Technology Investment Impact Report
| Prepared by Naftiko | April 2026 |
Executive Summary
This report presents a signal-based analysis of EY’s technology investment posture, derived from Naftiko’s methodology of examining services deployed, tools adopted, concepts referenced, and standards followed across workforce signals. The analysis spans foundational infrastructure, data platforms, customization capabilities, operational efficiency, productivity, integration, governance, economics, and strategic alignment.
One of the Big Four professional services firms providing audit, tax, consulting, and advisory services. Operates in over 150 countries helping businesses navigate regulatory and strategic challenges.
The assessment yields a total signal score of 2603 across 41 dimensions. The six strongest signal categories are services (400), data (222), cloud (219), security (139), ai (118), automation (114).
Layer 1: Foundational Layer
Evaluating EY’s foundational capabilities across Artificial Intelligence, Cloud, Open-Source, Languages, and Code — the core infrastructure and development building blocks supporting Tax Compliance Software and Professional Services / Accounting & Audit operations.
Waves: Large Language Models (LLMs), Generative Pre-trained Transformer (GPT), Open-Source LLMs
Artificial Intelligence — Score: 118
EY’s AI score of 118 reflects adoption across Anthropic, Azure Machine Learning, Bloomberg AIM.
- Services: Anthropic, Azure Machine Learning, Bloomberg AIM, ChatGPT, Claude, Databricks, Dataiku, Gemini
- Tools: Hugging Face Transformers, Kubeflow, Llama, Matplotlib, NumPy, Pandas, PyTorch, Semantic Kernel
- Concepts: AI Agents, Agent Frameworks, Agentic AI, Agentic Frameworks, Agentic Solutions, Agentic Systems, Agentics, Agents
- Standards: MLOps
AI posture sets the ceiling on downstream AI workloads at EY.
Cloud — Score: 219
Cloud score of 219 spans AWS Lambda, Amazon API Gateway, Amazon ECS alongside IaC tooling (Ansible, Buildpacks, Docker).
- Services: AWS Lambda, Amazon API Gateway, Amazon ECS, Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon SNS, Amazon SQS
- Tools: Ansible, Buildpacks, Docker, Kubernetes, Terraform
- Concepts: Cloud Access, Cloud Adoptions, Cloud Architectures, Cloud Computes, Cloud Computing, Cloud Computing Environments, Cloud Computing Platforms, Cloud Computing Services
- Standards: SDLC, Software Development Lifecycle
Cloud maturity is the anchor for scaling AI workloads at EY.
Open-Source — Score: 59
Open-Source score of 59 anchored on Bitbucket, GitHub, GitHub Copilot.
- Services: Bitbucket, GitHub, GitHub Copilot, GitLab, Red Hat
- Tools: Angular, Ansible, Apache, Apache AGE, Apache APR, Apache ActiveMQ, Apache Airflow, Apache Ambari
- Concepts: Contributions, Open Source, Open-source Technologies, Open-source Tools
- Standards: CODE_OF_CONDUCT.md, CONTRIBUTING.md, CONTRIBUTORS.md, LICENSE.md, SECURITY.md, SUPPORT.md
Consumption is broad; formal contribution posture is an opportunity area.
Languages — Score: 56
Languages score of 56 across .Net, .Net Core, .Net Framework, Bash, C Net.
- Languages: .Net, .Net Core, .Net Framework, Bash, C Net, C#, C++, Cobol
Language mix is a revealing signal of EY’s engineering history and modernization priorities.
Code — Score: 55
Code score of 55 anchored on Azure DevOps, Bitbucket, GitHub.
- Services: Azure DevOps, Bitbucket, GitHub, GitHub Actions, GitHub Copilot, GitLab, IntelliJ IDEA, TeamCity
- Tools: Git, PowerShell, SonarQube, Vite, Vitess
- Concepts: Application Programming Interfaces, Code Analysis, Code Generations, Code Management, Code Quality, Code Refactorings, Code Repositories, Code Reuses
- Standards: DevOps, SDLC, Secure Software Development Lifecycle, Software Development Lifecycle
Developer tooling is the lever for compound productivity via AI coding assistants.
Layer Summary: EY’s Foundational Layer reflects AI (118), Cloud (219), Open-Source (59), Languages (56), and Code (55) — the bedrock on which every subsequent AI-readiness capability is built.
Layer 2: Retrieval & Grounding
Evaluating EY’s data and retrieval capabilities — Data, Databases, Virtualization, Specifications, Context Engineering — that ground AI workloads in enterprise information.
Waves: Vector Databases, Retrieval-Augmented Generation (RAG), Prompt Engineering, Context Engineering
Data — Score: 222
Data score of 222 reflects Alteryx, Azure Data Factory, Crystal Reports.
- Services: Alteryx, Azure Data Factory, Crystal Reports, Databricks, Informatica, Jupyter Notebook, MATLAB, Power BI
- Tools: Apache Airflow, Apache Hadoop, Apache Hive, Apache Iceberg, Apache Kafka, Apache NiFi, Apache Spark, ClickHouse
- Concepts: Analytics, Business Analytics, Business Intelligence, Cloud Data Warehouses, Customer Analytics, Data Analysis, Data Analysis Software, Data Analysis Techniques
- Standards: Data Modeling, Data Models
Analytical depth is the foundation for retrieval-augmented AI.
Databases — Score: 48
Databases score of 48 spans Oracle, Oracle Cloud, Oracle Database.
- Services: Oracle, Oracle Cloud, Oracle Database, SAP HANA, Snowflake, Teradata
- Tools: ClickHouse, Elasticsearch, MongoDB, MySQL, PostgreSQL, Redis
- Concepts: Database Administration, Database Architectures, Database Design, Database Integrations, Database Management, Database Queries, Database Securities, Database Systems
- Standards: ACID, SQL
Portfolio rationalization is an ongoing lever.
Virtualization — Score: 44
Virtualization score of 44 on Citrix, Citrix NetScaler, EMC.
- Services: Citrix, Citrix NetScaler, EMC, Solaris Zones, VMware
- Tools: Docker, Kubernetes
- Concepts: Container Images, Container Management, Container Orchestration, Container Platforms, Container Runtimes, Container Securities
Containerization paired with VMs is a pragmatic stance.
Specifications — Score: 14
Specifications score of 14 rooted in REST/HTTP/JSON.
- Concepts: API Design, API Development, API Gateways, API Integrations, API Management, API Securities, API Testing, Application Programming Interfaces
- Standards: GraphQL, HTTP, HTTP/2, JSON, OpenAPI, Protocol Buffers, REST, TCP/IP
Formalizing OpenAPI as enterprise standard is a prerequisite for AI agent integration.
Context Engineering
EY’s Context Engineering investment is emerging.
Pairing strong Data with formal context layer is the highest-leverage AI readiness move.
Layer Summary: EY’s Retrieval posture is shaped by Data (222), Databases (48), and Specifications (14).
Layer 3: Customization & Adaptation
Evaluating EY’s capabilities for customizing AI to its business — Data Pipelines, Model Registry, Multimodal Infrastructure, Domain Specialization.
Waves: Fine-Tuning & Model Customization, Multimodal AI
Data Pipelines — Score: 23
Data Pipelines score of 23 reflects Apache Airflow, Apache Beam, Apache DolphinScheduler.
- Services: Azure Data Factory, Informatica
- Tools: Apache Airflow, Apache Beam, Apache DolphinScheduler, Apache Flink, Apache Hop, Apache Kafka, Apache NiFi, Apache Spark
- Concepts: API Integrations, Application Integrations, Cloud Integrations, Continuous Integration/Continuous Deployments, Continuous Integrations, Data Integrations, Data Pipelines, Database Integrations
Streaming pipelines prerequisite for real-time AI inference.
Model Registry & Versioning — Score: 29
Model Registry score of 29 via Azure Machine Learning, Databricks, Kubeflow.
- Services: Azure Machine Learning, Databricks
- Tools: Kubeflow, PyTorch, TensorFlow
- Standards: MLOps
Enterprise registry with approvals is prerequisite for regulated AI.
Multimodal Infrastructure — Score: 21
Multimodal score of 21 via Anthropic, Azure Machine Learning, Gemini.
- Services: Anthropic, Azure Machine Learning, Gemini, Hugging Face, OpenAI
- Tools: PyTorch, Semantic Kernel, TensorFlow
- Concepts: Generative AI, Generative Models, Large Language Models, Multimodals
Centralized OCR/audio/image extractors improve AI project productivity.
Domain Specialization — Score: 3
Domain Specialization score of 3.
Industry-specific fine-tuning is a differentiated long-term capability for EY.
Layer Summary: Customization bridges generic AI and business-specific advantage.
Layer 4: Efficiency & Specialization
Evaluating EY’s operational efficiency and platform layer — Automation, Containers, Platform, Operations.
Waves: Small Language Models (SLMs), Model Routing / Orchestration, Reasoning Models
Automation — Score: 114
Automation score of 114 reflects Ansible Automation Platform, GitHub Actions, Make.
- Services: Ansible Automation Platform, GitHub Actions, Make, Microsoft Power Apps, Microsoft Power Automate, Power Apps, Red Hat Ansible Automation Platform, ServiceNow
- Tools: Ansible, Apache Airflow, PowerShell
- Concepts: Automation, Automation Platforms, Automation Testing, Automation Toolings, Automation Tools And Processes, Build Automation, Building Automation, Business Automation
Automation footprint is ready for AI augmentation on high-toil processes.
Containers — Score: 44
Containers score of 44 on Buildpacks, Docker, Helm.
- Tools: Buildpacks, Docker, Helm, Kubernetes
- Concepts: Container Images, Container Management, Container Orchestration, Container Platforms, Container Runtimes, Container Securities, Container Services, Containerization
Container-native AI deployment is the logical next step.
Platform — Score: 45
Platform score of 45 spans AWS Lambda, Amazon API Gateway, Amazon ECS.
- Services: AWS Lambda, Amazon API Gateway, Amazon ECS, Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon SNS, Amazon SQS
- Concepts: AI Platforms, Accounting Platforms, Application Platforms, Automation Platforms, Banking Platforms, Cloud Computing Platforms, Cloud Data Platforms, Cloud Platforms
Platform engineering maturity is the next milestone.
Operations — Score: 107
Operations score of 107 anchored on Azure Log Analytics, Datadog, Dynatrace.
- Services: Azure Log Analytics, Datadog, Dynatrace, New Relic, ServiceNow, SolarWinds, Splunk
- Tools: Ansible, Chef, Prometheus, Puppet, Terraform
- Concepts: AI Operations, Business Operations, Cloud Operations, Data Operations, Development Operations, Digital Operations, Financial Operations, IT Operations
Operational tooling is a foundation for AI-driven SRE.
Layer Summary: Automation (114) and Operations (107) are direct levers for AI-augmented productivity.
Layer 5: Productivity
Evaluating EY’s productivity tooling — SaaS, Services, Code.
Waves: Coding Assistants, Copilots
Software As A Service (SaaS) — Score: 7
SaaS score of 7 includes Box, Concur, HubSpot, LinkedIn, MailChimp.
- Services: Box, Concur, HubSpot, LinkedIn, MailChimp, Microsoft Copilot, Microsoft Teams, SAP Concur
Rationalization and unified auth are the optimization opportunities.
Code — Score: 55
Code anchored on Azure DevOps, Bitbucket, GitHub.
- Services: Azure DevOps, Bitbucket, GitHub, GitHub Actions, GitHub Copilot, GitLab, IntelliJ IDEA, TeamCity
- Tools: Git, PowerShell, SonarQube, Vite, Vitess
- Concepts: Application Programming Interfaces, Code Analysis, Code Generations, Code Management, Code Quality, Code Refactorings, Code Repositories, Code Reuses
- Standards: DevOps, SDLC, Secure Software Development Lifecycle, Software Development Lifecycle
Wiring coding assistants creates compound productivity gains.
Services — Score: 400
Services score of 400 spans EY’s full service portfolio.
- Services: ADP, AWS Lambda, Adobe, Adobe Acrobat, Adobe Analytics, Adobe Campaign, Adobe Captivate, Adobe Creative Cloud
Scale of services drives the integration-layer imperative.
Layer Summary: Services score of 400 reflects EY’s breadth of enterprise SaaS consumption.
Layer 6: Integration & Interoperability
Evaluating EY’s API, integration, event-driven connectivity.
Waves: MCP (Model Context Protocol), Agents, Skills
API — Score: 40
API score of 40; concepts: API Design, API Development, API Gateways.
- Services: Amazon API Gateway, Apigee, Kong, MuleSoft
- Concepts: API Design, API Development, API Gateways, API Integrations, API Management, API Securities, API Testing, Capital Adequacies
- Standards: HTTP, HTTP/2, JSON, OpenAPI, REST
Formalizing API standards is the most impactful integration move.
Integrations — Score: 61
Integrations score of 61 spans Boomi, Informatica, Merge.
- Services: Boomi, Informatica, Merge, MuleSoft, Oracle Integration, Panora
- Concepts: API Integrations, Application Integrations, Cloud Integrations, Continuous Integration/Continuous Deployments, Continuous Integrations, Data Integrations, Database Integrations, Enterprise Integrations
- Standards: Enterprise Integration Patterns, Integration Patterns, SOA, Service Oriented Architecture
iPaaS reduces integration debt.
Event-Driven — Score: 42
Event-Driven score of 42.
- Tools: Apache Flink, Apache Kafka, Apache NiFi, Apache Pulsar, RabbitMQ
- Concepts: Data Loss Preventions, Data Streamings, Event Driven, Event Handling, Event Management, Event Meshes, Event Plannings, Event Streamings
- Standards: Event Sourcing, Event-driven Architecture, Pub/Sub
Event streaming is foundational for real-time AI.
Patterns — Score: 26
Patterns score of 26 on Spring, Spring Boot, Spring Cloud Stream.
- Tools: Spring, Spring Boot, Spring Cloud Stream, Spring Framework
- Concepts: Microservices, Pattern Recognitions, Patterns, Reactives
- Standards: Actor Model, Dependency Injection, Event-driven Architecture, Reactive Programming, SOA
Microservice patterns support AI workload scaling.
Specifications — Score: 14
Specifications score of 14.
- Concepts: API Design, API Development, API Gateways, API Integrations, API Management, API Securities, API Testing, Application Programming Interfaces
- Standards: GraphQL, HTTP, HTTP/2, JSON, OpenAPI, Protocol Buffers, REST, TCP/IP
Elevating OpenAPI to enterprise standard creates shared vocabulary for AI.
Apache — Score: 22
Apache score of 22: Apache AGE, Apache APR, Apache ActiveMQ, Apache Airflow, Apache Ambari.
- Tools: Apache AGE, Apache APR, Apache ActiveMQ, Apache Airflow, Apache Ambari, Apache Ant, Apache Archiva, Apache Aries
Apache ecosystem depth is a characteristic enterprise strength.
CNCF — Score: 33
CNCF score of 33: Argo, Buildpacks, Consul.
- Tools: Argo, Buildpacks, Consul, Dex, Envoy, Flux, Kubernetes, Lima
CNCF maturity pairs with Kubernetes adoption.
Layer Summary: API (40) and Integrations (61) are the connective tissue for scaling AI.
Layer 7: Statefulness
Evaluating EY’s Observability, Governance, Security, Data handling.
Waves: Memory Systems
Observability — Score: 66
Observability score of 66 spans Azure Log Analytics, CloudWatch, Datadog.
- Services: Azure Log Analytics, CloudWatch, Datadog, Dynatrace, New Relic, SolarWinds, Splunk
- Tools: Elasticsearch, OpenTelemetry, Prometheus
- Concepts: Alerting, Compliance Monitoring, Compliance Monitoring Programs, Continuous Monitoring, Data Observability, Distributed Tracing, Logging, Media Monitoring
Consolidation lowers cost.
Governance — Score: 92
Governance score of 92; standards: CCPA, GDPR, ISO.
- Concepts: AI Governance, Architecture Governance, Audit Management, Audit Processes, Audit Reports, Audit Techniques, Audit Technologies, Audit Tools
- Standards: CCPA, GDPR, ISO, ITIL, ITSM, Lean Six Sigma, NIST, OSHA
Extending to AI governance is the natural evolution.
Security — Score: 139
Security score of 139 anchored on Citrix NetScaler, Cloudflare, Fortinet.
- Services: Citrix NetScaler, Cloudflare, Fortinet, McAfee, Microsoft Identity Manager, Palo Alto Networks, Prisma
- Tools: Consul
- Concepts: Authentications, Authorizations, Cloud Security Best Practices, Cloud Security Controls, Cloud Security Frameworks, Cloud Security Posture Management, Cloud Security Tools, Cyber Security Assessments
- Standards: Cybersecurity Standards, IAM, ISO, NIST, PCI Compliance, SECURITY.md, SSL/TLS, SSO
AI-specific security is a required add to existing program.
Data — Score: 222
Data — Alteryx, Azure Data Factory, Crystal Reports anchors.
- Services: Alteryx, Azure Data Factory, Crystal Reports, Databricks, Informatica, Jupyter Notebook, MATLAB, Power BI
- Tools: Apache Airflow, Apache Hadoop, Apache Hive, Apache Iceberg, Apache Kafka, Apache NiFi, Apache Spark, ClickHouse
- Concepts: Analytics, Business Analytics, Business Intelligence, Cloud Data Warehouses, Customer Analytics, Data Analysis, Data Analysis Software, Data Analysis Techniques
- Standards: Data Modeling, Data Models
Continued cataloging and lineage pays off at AI scale.
Layer Summary: Observability (66), Governance (92), Security (139) reflect EY’s operational maturity.
Layer 8: Measurement & Accountability
Evaluating EY’s measurement discipline — Testing, Observability, DevEx, ROI.
Waves: Evaluation & Benchmarking
Testing & Quality — Score: 42
Testing score of 42 with Appium, JUnit, Playwright.
- Tools: Appium, JUnit, Playwright, Selenium, SonarQube
- Concepts: AI Testing, API Testing, Acceptance Testing, Accessibility Testing, Automated Testing, Automated Testing Frameworks, Automation Testing, Black Box Testing
- Standards: Acceptance Criteria, SDLC, Six Sigma, Test Cases, Test Plans, Test Scripts, Test Suites
AI-specific evals extend traditional testing.
Observability — Score: 66
Observability — Azure Log Analytics, CloudWatch, Datadog.
- Services: Azure Log Analytics, CloudWatch, Datadog, Dynatrace, New Relic, SolarWinds, Splunk
- Tools: Elasticsearch, OpenTelemetry, Prometheus
- Concepts: Alerting, Compliance Monitoring, Compliance Monitoring Programs, Continuous Monitoring, Data Observability, Distributed Tracing, Logging, Media Monitoring
Instrumented for AI workload observation.
Developer Experience — Score: 34
DevEx score of 34 on Azure DevOps, GitHub, GitHub Copilot.
- Services: Azure DevOps, GitHub, GitHub Copilot, GitLab, IntelliJ IDEA, Pluralsight
- Tools: Docker, Git
DORA metrics and IDPs are next investments.
ROI & Business Metrics — Score: 71
ROI score of 71 reflects Alteryx, Crystal Reports, Oracle Hyperion.
- Services: Alteryx, Crystal Reports, Oracle Hyperion, Power BI, SAP, Tableau, Tableau Desktop
- Concepts: Androids, Business Analytics, Financial Accounting, Financial Analysis, Financial Analytics, Financial Compliances, Financial Controls, Financial Crime Preventions
ROI discipline translates naturally to AI initiatives.
Layer Summary: Measurement is necessary for accountable AI initiatives.
Layer 9: Governance & Risk
Evaluating EY’s Regulatory, AI Review, Security, Governance, Privacy controls.
Waves: Governance & Compliance
Regulatory Posture — Score: 20
Regulatory score of 20 with standards: CCPA, Cybersecurity Standards, GDPR.
- Concepts: Compliance, Compliance Automation, Compliance Frameworks, Compliance Management, Compliance Managers, Compliance Monitoring, Compliance Monitoring Programs, Compliance Oversights
- Standards: CCPA, Cybersecurity Standards, GDPR, Good Manufacturing Practices, HIPAA, ISO, Internal Control Standards, NIST
Proactive alignment with NIST AI RMF is a forward investment.
AI Review & Approval — Score: 29
AI Review score of 29 with Anthropic, Azure Machine Learning, OpenAI.
- Services: Anthropic, Azure Machine Learning, OpenAI
- Concepts: AI Platforms, Model Development, Model Lifecycle Management
- Standards: MLOps
Formalized AI review council is the priority governance investment.
Security — Score: 139
Security — Citrix NetScaler, Cloudflare, Fortinet.
- Services: Citrix NetScaler, Cloudflare, Fortinet, McAfee, Microsoft Identity Manager, Palo Alto Networks, Prisma
- Concepts: Authentications, Authorizations, Cloud Security Best Practices, Cloud Security Controls, Cloud Security Frameworks, Cloud Security Posture Management, Cloud Security Tools, Cyber Security Assessments
- Standards: Cybersecurity Standards, IAM, ISO, NIST, PCI Compliance, SECURITY.md, SSL/TLS, SSO
AI threat model coverage extends existing security.
Governance — Score: 92
Governance standards: CCPA, GDPR, ISO.
- Concepts: AI Governance, Architecture Governance, Audit Management, Audit Processes, Audit Reports, Audit Techniques, Audit Technologies, Audit Tools
- Standards: CCPA, GDPR, ISO, ITIL, ITSM, Lean Six Sigma, NIST, OSHA
AI governance as first-class discipline is the next step.
Privacy & Data Rights — Score: 8
Privacy score of 8.
- Concepts: Data Protection, Privacy, Privacy Impact Assessments
- Standards: CCPA, GDPR, HIPAA
Formal ‘training-eligible?’ classification prevents inadvertent PII use in models.
Layer Summary: Security (139), Governance (92), AI Review (29) shape the AI compliance envelope.
Layer 10: Economics & Sustainability
Evaluating EY’s AI FinOps, Provider Strategy, Partnerships, Talent, Data Centers.
Waves: Cost Economics & FinOps, Supply Chain & Dependency Risk, Data Centers
AI FinOps — Score: 9
AI FinOps score of 9 with AWS Lambda, Amazon Web Services, Azure Active Directory.
- Services: AWS Lambda, Amazon Web Services, Azure Active Directory, Azure Arc, Azure Blob Storage, Azure Data Factory
- Concepts: Budgetings, Cost Accounting, Cost Controls, Cost Management, Cost Optimizations, Financial Plannings
Token-cost tagging required before AI spend accelerates.
Provider Strategy — Score: 20
Provider Strategy score of 20 with Amazon API Gateway, Amazon ECS, Amazon Kinesis, Amazon Redshift.
- Services: Amazon API Gateway, Amazon ECS, Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon SNS, Amazon SQS, Amazon SageMaker
- Concepts: Cloud Service Providers, Identity Providers, Supplier Contracts, Supplier Management, Vendor Management
Explicit provider strategy tightens AI partnership decisions.
Partnerships & Ecosystem — Score: 30
Partnerships score of 30 with AWS Lambda, Amazon API Gateway, Amazon ECS, Amazon Kinesis.
- Services: AWS Lambda, Amazon API Gateway, Amazon ECS, Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon SNS, Amazon SQS
- Concepts: Cloud Ecosystems, Ecosystems, Platform Ecosystems
AI-specific partnerships are emerging.
Talent & Organizational Design — Score: 29
Talent score of 29 with ADP, LinkedIn, PeopleSoft.
- Services: ADP, LinkedIn, PeopleSoft, Pluralsight, Workday
- Concepts: AI Trainings, Artificial Intelligence/Machine Learning, Continuous Learning, Corporate Learning, Deep Learning, E-learnings, Human Resources, Learning
Aligning talent toward AI skill development is direct leverage.
Data Centers
Data Centers investment signals are limited.
Hybrid-cloud vs public-cloud becomes a board-level question at AI scale.
Layer Summary: Talent (29) and Partnerships (30) most affect AI outcomes.
Layer 11: Storytelling & Entertainment & Theater
Evaluating EY’s strategic narrative — Alignment, Standardization, M&A, Experimentation.
Waves: Moltbook, Gastown, Ralph Wiggum, OpenClaw / Clawdbot, Artificial General Intelligence (AGI)
Alignment — Score: 36
Alignment score of 36; concepts: AI Architectures, Application Architectures, Architecture Design.
- Concepts: AI Architectures, Application Architectures, Architecture Design, Architecture Governance, Architecture Strategies, Architectures, Business Transformations, Cloud Architectures
- Standards: Agile, Agile Delivery, Agile Methodology, Lean Management, Lean Manufacturing, SAFe Agile, Scrum
Aligning AI to business outcomes makes AI accountable.
Standardization — Score: 20
Standardization score of 20: Agile, ISO, NIST, REST, SDLC.
- Standards: Agile, ISO, NIST, REST, SDLC, SQL, Standard Operating Procedures, Technical Specifications
Extending to AI (model cards, eval suites) is a natural evolution.
Mergers & Acquisitions — Score: 28
M&A score of 28.
- Concepts: Data Acquisition, Due Diligences, Financial Modeling, Financial Models, M&AS, Mergers And Acquisitions
AI-capability acquisitions can accelerate gaps.
Experimentation & Prototyping
Experimentation & Prototyping signals are limited.
A named internal AI sandbox reduces shadow-AI risk.
Layer Summary: Alignment (36) and Standardization (20) shape AI program direction.
Strategic Assessment
Top Three 2026 Investment Recommendations for EY
-
Establish an API-First Integration Layer. API score of 40 across 400 services leaves EY without reusable connective tissue. Prioritize API standards, deploy an enterprise gateway, publish a service catalog.
-
Stand Up a Formal AI Governance and Review Council. AI Review score of 29 combined with AI adoption (score 118) creates regulatory and reputational risk. Charter a council, publish review criteria, gate production AI.
-
Invest in Real-Time Data Pipelines and Event Streams. Data Pipelines (23) and Event-Driven (42) are the gap between data platform maturity and real-time AI. Extend Kafka or Azure Event Hubs to critical flows first.
Methodology
Scores derive from the density and diversity of signals detected across Services, Tools, Concepts, and Standards, aggregated into 11 strategic layers mapping the full technology stack.
Based on signal data available as of April 2026.
Capabilities are Naftiko definitions for how enterprise services, tools, and standards can be combined to deliver business value using AI. Each capability below defines the integrations, workflows, and orchestrations available — run them with the Naftiko Framework or browse the shipped set in the Naftiko Fleet.
Access Review Campaign Generation — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Access Review Campaign Generation
description: Access Review Campaign Generation — contextualized for EY based on its actual service and tool footprint.
tags:
- servicenow
- automation
capability:
exposes:
- type: mcp
namespace: access-review
port: 8080
tools:
- name: execute
description: Access Review Campaign Generation — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: access-review.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: access-review
baseUri: https://ey.internal.example.com/access-review/v1
authentication:
type: bearer
token: $secrets.access_review_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Accounts Payable Invoice Approval Routing — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Accounts Payable Invoice Approval Routing
description: Accounts Payable Invoice Approval Routing — contextualized for EY based on its actual service and tool footprint.
tags:
- oracle
- automation
capability:
exposes:
- type: mcp
namespace: ap-approval
port: 8080
tools:
- name: execute
description: Accounts Payable Invoice Approval Routing — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ap-approval.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ap-approval
baseUri: https://ey.internal.example.com/ap-approval/v1
authentication:
type: bearer
token: $secrets.ap_approval_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Adobe Campaign Launch Readiness Check — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Adobe Campaign Launch Readiness Check
description: Adobe Campaign Launch Readiness Check — contextualized for EY based on its actual service and tool footprint.
tags:
- adobe-campaign
- automation
capability:
exposes:
- type: mcp
namespace: campaign-ready
port: 8080
tools:
- name: execute
description: Adobe Campaign Launch Readiness Check — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: campaign-ready.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: campaign-ready
baseUri: https://ey.internal.example.com/campaign-ready/v1
authentication:
type: bearer
token: $secrets.campaign_ready_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
APM Latency Spike Investigation — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: APM Latency Spike Investigation
description: APM Latency Spike Investigation — contextualized for EY based on its actual service and tool footprint.
tags:
- datadog
- automation
capability:
exposes:
- type: mcp
namespace: apm-spike
port: 8080
tools:
- name: execute
description: APM Latency Spike Investigation — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: apm-spike.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: apm-spike
baseUri: https://ey.internal.example.com/apm-spike/v1
authentication:
type: bearer
token: $secrets.apm_spike_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Azure DevOps Work Item Auto-Link — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Azure DevOps Work Item Auto-Link
description: Azure DevOps Work Item Auto-Link — contextualized for EY based on its actual service and tool footprint.
tags:
- azure-devops
- automation
capability:
exposes:
- type: mcp
namespace: ado-link
port: 8080
tools:
- name: execute
description: Azure DevOps Work Item Auto-Link — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ado-link.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ado-link
baseUri: https://ey.internal.example.com/ado-link/v1
authentication:
type: bearer
token: $secrets.ado_link_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Budget vs Actual Variance Explainer — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Budget vs Actual Variance Explainer
description: Budget vs Actual Variance Explainer — contextualized for EY based on its actual service and tool footprint.
tags:
- sap
- automation
capability:
exposes:
- type: mcp
namespace: variance
port: 8080
tools:
- name: execute
description: Budget vs Actual Variance Explainer — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: variance.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: variance
baseUri: https://ey.internal.example.com/variance/v1
authentication:
type: bearer
token: $secrets.variance_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Change Management Request Triage — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Change Management Request Triage
description: Change Management Request Triage — contextualized for EY based on its actual service and tool footprint.
tags:
- servicenow
- automation
capability:
exposes:
- type: mcp
namespace: change-mgmt
port: 8080
tools:
- name: execute
description: Change Management Request Triage — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: change-mgmt.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: change-mgmt
baseUri: https://ey.internal.example.com/change-mgmt/v1
authentication:
type: bearer
token: $secrets.change_mgmt_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
CI/CD Failure Observability Chain — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: CI/CD Failure Observability Chain
description: CI/CD Failure Observability Chain — contextualized for EY based on its actual service and tool footprint.
tags:
- github
- automation
capability:
exposes:
- type: mcp
namespace: ci-failure
port: 8080
tools:
- name: execute
description: CI/CD Failure Observability Chain — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ci-failure.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ci-failure
baseUri: https://ey.internal.example.com/ci-failure/v1
authentication:
type: bearer
token: $secrets.ci_failure_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Conduct Quarterly Technology Posture Review — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Conduct Quarterly Technology Posture Review
description: Conduct Quarterly Technology Posture Review — contextualized for EY based on its actual service and tool footprint.
tags:
- enterprise
- automation
capability:
exposes:
- type: mcp
namespace: posture-review
port: 8080
tools:
- name: execute
description: Conduct Quarterly Technology Posture Review — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: posture-review.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: posture-review
baseUri: https://ey.internal.example.com/posture-review/v1
authentication:
type: bearer
token: $secrets.posture_review_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Daily General Ledger Close Check — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Daily General Ledger Close Check
description: Daily General Ledger Close Check — contextualized for EY based on its actual service and tool footprint.
tags:
- sap
- automation
capability:
exposes:
- type: mcp
namespace: gl-close
port: 8080
tools:
- name: execute
description: Daily General Ledger Close Check — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: gl-close.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: gl-close
baseUri: https://ey.internal.example.com/gl-close/v1
authentication:
type: bearer
token: $secrets.gl_close_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Data Quality SLO Check — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Data Quality SLO Check
description: Data Quality SLO Check — contextualized for EY based on its actual service and tool footprint.
tags:
- snowflake
- automation
capability:
exposes:
- type: mcp
namespace: dq-slo
port: 8080
tools:
- name: execute
description: Data Quality SLO Check — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: dq-slo.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: dq-slo
baseUri: https://ey.internal.example.com/dq-slo/v1
authentication:
type: bearer
token: $secrets.dq_slo_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Datadog Alert Fatigue Audit — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Datadog Alert Fatigue Audit
description: Datadog Alert Fatigue Audit — contextualized for EY based on its actual service and tool footprint.
tags:
- datadog
- automation
capability:
exposes:
- type: mcp
namespace: alert-audit
port: 8080
tools:
- name: execute
description: Datadog Alert Fatigue Audit — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: alert-audit.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: alert-audit
baseUri: https://ey.internal.example.com/alert-audit/v1
authentication:
type: bearer
token: $secrets.alert_audit_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Email Phishing Training Campaign Dispatch — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Email Phishing Training Campaign Dispatch
description: Email Phishing Training Campaign Dispatch — contextualized for EY based on its actual service and tool footprint.
tags:
- enterprise
- automation
capability:
exposes:
- type: mcp
namespace: phish-train
port: 8080
tools:
- name: execute
description: Email Phishing Training Campaign Dispatch — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: phish-train.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: phish-train
baseUri: https://ey.internal.example.com/phish-train/v1
authentication:
type: bearer
token: $secrets.phish_train_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Employee Offboarding Revocation — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Employee Offboarding Revocation
description: Employee Offboarding Revocation — contextualized for EY based on its actual service and tool footprint.
tags:
- workday
- automation
capability:
exposes:
- type: mcp
namespace: offboarding
port: 8080
tools:
- name: execute
description: Employee Offboarding Revocation — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: offboarding.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: offboarding
baseUri: https://ey.internal.example.com/offboarding/v1
authentication:
type: bearer
token: $secrets.offboarding_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Employee Onboarding Orchestration — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Employee Onboarding Orchestration
description: Employee Onboarding Orchestration — contextualized for EY based on its actual service and tool footprint.
tags:
- workday
- automation
capability:
exposes:
- type: mcp
namespace: onboarding
port: 8080
tools:
- name: execute
description: Employee Onboarding Orchestration — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: onboarding.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: onboarding
baseUri: https://ey.internal.example.com/onboarding/v1
authentication:
type: bearer
token: $secrets.onboarding_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Enterprise Glossary Term Suggestions — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Enterprise Glossary Term Suggestions
description: Enterprise Glossary Term Suggestions — contextualized for EY based on its actual service and tool footprint.
tags:
- enterprise
- automation
capability:
exposes:
- type: mcp
namespace: glossary-ai
port: 8080
tools:
- name: execute
description: Enterprise Glossary Term Suggestions — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: glossary-ai.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: glossary-ai
baseUri: https://ey.internal.example.com/glossary-ai/v1
authentication:
type: bearer
token: $secrets.glossary_ai_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Executive KPI Dashboard Nightly Build — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Executive KPI Dashboard Nightly Build
description: Executive KPI Dashboard Nightly Build — contextualized for EY based on its actual service and tool footprint.
tags:
- power-bi
- automation
capability:
exposes:
- type: mcp
namespace: exec-kpi
port: 8080
tools:
- name: execute
description: Executive KPI Dashboard Nightly Build — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: exec-kpi.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: exec-kpi
baseUri: https://ey.internal.example.com/exec-kpi/v1
authentication:
type: bearer
token: $secrets.exec_kpi_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Expense Report Auto-Approval Under Threshold — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Expense Report Auto-Approval Under Threshold
description: Expense Report Auto-Approval Under Threshold — contextualized for EY based on its actual service and tool footprint.
tags:
- concur
- automation
capability:
exposes:
- type: mcp
namespace: expense-auto
port: 8080
tools:
- name: execute
description: Expense Report Auto-Approval Under Threshold — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: expense-auto.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: expense-auto
baseUri: https://ey.internal.example.com/expense-auto/v1
authentication:
type: bearer
token: $secrets.expense_auto_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Generate Weekly Executive Technology Digest — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Generate Weekly Executive Technology Digest
description: Generate Weekly Executive Technology Digest — contextualized for EY based on its actual service and tool footprint.
tags:
- enterprise
- automation
capability:
exposes:
- type: mcp
namespace: exec-digest
port: 8080
tools:
- name: execute
description: Generate Weekly Executive Technology Digest — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: exec-digest.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: exec-digest
baseUri: https://ey.internal.example.com/exec-digest/v1
authentication:
type: bearer
token: $secrets.exec_digest_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
GitHub Copilot License Utilization Report — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: GitHub Copilot License Utilization Report
description: GitHub Copilot License Utilization Report — contextualized for EY based on its actual service and tool footprint.
tags:
- github
- automation
capability:
exposes:
- type: mcp
namespace: copilot-util
port: 8080
tools:
- name: execute
description: GitHub Copilot License Utilization Report — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: copilot-util.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: copilot-util
baseUri: https://ey.internal.example.com/copilot-util/v1
authentication:
type: bearer
token: $secrets.copilot_util_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
GitHub PR Auto-Label by File Pattern — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: GitHub PR Auto-Label by File Pattern
description: GitHub PR Auto-Label by File Pattern — contextualized for EY based on its actual service and tool footprint.
tags:
- github
- automation
capability:
exposes:
- type: mcp
namespace: pr-label
port: 8080
tools:
- name: execute
description: GitHub PR Auto-Label by File Pattern — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: pr-label.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: pr-label
baseUri: https://ey.internal.example.com/pr-label/v1
authentication:
type: bearer
token: $secrets.pr_label_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
GitLab Pipeline Failure Triage — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: GitLab Pipeline Failure Triage
description: GitLab Pipeline Failure Triage — contextualized for EY based on its actual service and tool footprint.
tags:
- gitlab
- automation
capability:
exposes:
- type: mcp
namespace: gl-triage
port: 8080
tools:
- name: execute
description: GitLab Pipeline Failure Triage — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: gl-triage.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: gl-triage
baseUri: https://ey.internal.example.com/gl-triage/v1
authentication:
type: bearer
token: $secrets.gl_triage_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Google Analytics Daily Anomaly Detection — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Google Analytics Daily Anomaly Detection
description: Google Analytics Daily Anomaly Detection — contextualized for EY based on its actual service and tool footprint.
tags:
- google-analytics
- automation
capability:
exposes:
- type: mcp
namespace: ga-anomaly
port: 8080
tools:
- name: execute
description: Google Analytics Daily Anomaly Detection — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ga-anomaly.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ga-anomaly
baseUri: https://ey.internal.example.com/ga-anomaly/v1
authentication:
type: bearer
token: $secrets.ga_anomaly_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Lead Routing Based on Territory — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Lead Routing Based on Territory
description: Lead Routing Based on Territory — contextualized for EY based on its actual service and tool footprint.
tags:
- salesforce
- automation
capability:
exposes:
- type: mcp
namespace: lead-route
port: 8080
tools:
- name: execute
description: Lead Routing Based on Territory — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: lead-route.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: lead-route
baseUri: https://ey.internal.example.com/lead-route/v1
authentication:
type: bearer
token: $secrets.lead_route_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Learning Path Assignment Based on Role — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Learning Path Assignment Based on Role
description: Learning Path Assignment Based on Role — contextualized for EY based on its actual service and tool footprint.
tags:
- pluralsight
- automation
capability:
exposes:
- type: mcp
namespace: learning-path
port: 8080
tools:
- name: execute
description: Learning Path Assignment Based on Role — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: learning-path.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: learning-path
baseUri: https://ey.internal.example.com/learning-path/v1
authentication:
type: bearer
token: $secrets.learning_path_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
LinkedIn Company Page Engagement Digest — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: LinkedIn Company Page Engagement Digest
description: LinkedIn Company Page Engagement Digest — contextualized for EY based on its actual service and tool footprint.
tags:
- linkedin
- automation
capability:
exposes:
- type: mcp
namespace: li-digest
port: 8080
tools:
- name: execute
description: LinkedIn Company Page Engagement Digest — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: li-digest.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: li-digest
baseUri: https://ey.internal.example.com/li-digest/v1
authentication:
type: bearer
token: $secrets.li_digest_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Microsoft Teams Channel Creation for Project — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Microsoft Teams Channel Creation for Project
description: Microsoft Teams Channel Creation for Project — contextualized for EY based on its actual service and tool footprint.
tags:
- microsoft-teams
- automation
capability:
exposes:
- type: mcp
namespace: teams-create
port: 8080
tools:
- name: execute
description: Microsoft Teams Channel Creation for Project — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: teams-create.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: teams-create
baseUri: https://ey.internal.example.com/teams-create/v1
authentication:
type: bearer
token: $secrets.teams_create_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Month-End Financial Close Orchestration — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Month-End Financial Close Orchestration
description: Month-End Financial Close Orchestration — contextualized for EY based on its actual service and tool footprint.
tags:
- sap
- automation
capability:
exposes:
- type: mcp
namespace: month-end
port: 8080
tools:
- name: execute
description: Month-End Financial Close Orchestration — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: month-end.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: month-end
baseUri: https://ey.internal.example.com/month-end/v1
authentication:
type: bearer
token: $secrets.month_end_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
New Relic Synthetic Monitoring Refresh — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: New Relic Synthetic Monitoring Refresh
description: New Relic Synthetic Monitoring Refresh — contextualized for EY based on its actual service and tool footprint.
tags:
- new-relic
- automation
capability:
exposes:
- type: mcp
namespace: nr-synth
port: 8080
tools:
- name: execute
description: New Relic Synthetic Monitoring Refresh — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: nr-synth.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: nr-synth
baseUri: https://ey.internal.example.com/nr-synth/v1
authentication:
type: bearer
token: $secrets.nr_synth_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Open Requisition Funnel Report — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Open Requisition Funnel Report
description: Open Requisition Funnel Report — contextualized for EY based on its actual service and tool footprint.
tags:
- workday
- automation
capability:
exposes:
- type: mcp
namespace: req-funnel
port: 8080
tools:
- name: execute
description: Open Requisition Funnel Report — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: req-funnel.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: req-funnel
baseUri: https://ey.internal.example.com/req-funnel/v1
authentication:
type: bearer
token: $secrets.req_funnel_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Opportunity Pipeline Health Alert — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Opportunity Pipeline Health Alert
description: Opportunity Pipeline Health Alert — contextualized for EY based on its actual service and tool footprint.
tags:
- salesforce
- automation
capability:
exposes:
- type: mcp
namespace: pipe-health
port: 8080
tools:
- name: execute
description: Opportunity Pipeline Health Alert — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: pipe-health.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: pipe-health
baseUri: https://ey.internal.example.com/pipe-health/v1
authentication:
type: bearer
token: $secrets.pipe_health_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Oracle Database Free-Space Alert — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Oracle Database Free-Space Alert
description: Oracle Database Free-Space Alert — contextualized for EY based on its actual service and tool footprint.
tags:
- oracle
- automation
capability:
exposes:
- type: mcp
namespace: db-space
port: 8080
tools:
- name: execute
description: Oracle Database Free-Space Alert — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: db-space.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: db-space
baseUri: https://ey.internal.example.com/db-space/v1
authentication:
type: bearer
token: $secrets.db_space_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
P1 Incident Response Orchestration — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: P1 Incident Response Orchestration
description: P1 Incident Response Orchestration — contextualized for EY based on its actual service and tool footprint.
tags:
- servicenow
- automation
capability:
exposes:
- type: mcp
namespace: incident
port: 8080
tools:
- name: execute
description: P1 Incident Response Orchestration — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: incident.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: incident
baseUri: https://ey.internal.example.com/incident/v1
authentication:
type: bearer
token: $secrets.incident_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Payroll Headcount Snapshot — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Payroll Headcount Snapshot
description: Payroll Headcount Snapshot — contextualized for EY based on its actual service and tool footprint.
tags:
- workday
- automation
capability:
exposes:
- type: mcp
namespace: headcount
port: 8080
tools:
- name: execute
description: Payroll Headcount Snapshot — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: headcount.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: headcount
baseUri: https://ey.internal.example.com/headcount/v1
authentication:
type: bearer
token: $secrets.headcount_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
PeopleSoft HR Data Sync — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: PeopleSoft HR Data Sync
description: PeopleSoft HR Data Sync — contextualized for EY based on its actual service and tool footprint.
tags:
- peoplesoft
- automation
capability:
exposes:
- type: mcp
namespace: ps-sync
port: 8080
tools:
- name: execute
description: PeopleSoft HR Data Sync — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ps-sync.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ps-sync
baseUri: https://ey.internal.example.com/ps-sync/v1
authentication:
type: bearer
token: $secrets.ps_sync_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Power BI Dataset Refresh Failure Triage — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Power BI Dataset Refresh Failure Triage
description: Power BI Dataset Refresh Failure Triage — contextualized for EY based on its actual service and tool footprint.
tags:
- power-bi
- automation
capability:
exposes:
- type: mcp
namespace: pbi-triage
port: 8080
tools:
- name: execute
description: Power BI Dataset Refresh Failure Triage — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: pbi-triage.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: pbi-triage
baseUri: https://ey.internal.example.com/pbi-triage/v1
authentication:
type: bearer
token: $secrets.pbi_triage_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Proactive Churn Outreach from Model — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Proactive Churn Outreach from Model
description: Proactive Churn Outreach from Model — contextualized for EY based on its actual service and tool footprint.
tags:
- snowflake
- automation
capability:
exposes:
- type: mcp
namespace: churn-out
port: 8080
tools:
- name: execute
description: Proactive Churn Outreach from Model — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: churn-out.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: churn-out
baseUri: https://ey.internal.example.com/churn-out/v1
authentication:
type: bearer
token: $secrets.churn_out_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Production Hotfix Change Ticket Automation — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Production Hotfix Change Ticket Automation
description: Production Hotfix Change Ticket Automation — contextualized for EY based on its actual service and tool footprint.
tags:
- github
- automation
capability:
exposes:
- type: mcp
namespace: hotfix
port: 8080
tools:
- name: execute
description: Production Hotfix Change Ticket Automation — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: hotfix.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: hotfix
baseUri: https://ey.internal.example.com/hotfix/v1
authentication:
type: bearer
token: $secrets.hotfix_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Risk Register Nightly Sync — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Risk Register Nightly Sync
description: Risk Register Nightly Sync — contextualized for EY based on its actual service and tool footprint.
tags:
- enterprise
- automation
capability:
exposes:
- type: mcp
namespace: risk-register
port: 8080
tools:
- name: execute
description: Risk Register Nightly Sync — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: risk-register.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: risk-register
baseUri: https://ey.internal.example.com/risk-register/v1
authentication:
type: bearer
token: $secrets.risk_register_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Role Change Approval — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Role Change Approval
description: Role Change Approval — contextualized for EY based on its actual service and tool footprint.
tags:
- workday
- automation
capability:
exposes:
- type: mcp
namespace: role-change
port: 8080
tools:
- name: execute
description: Role Change Approval — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: role-change.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: role-change
baseUri: https://ey.internal.example.com/role-change/v1
authentication:
type: bearer
token: $secrets.role_change_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Salesforce Case Escalation — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Salesforce Case Escalation
description: Salesforce Case Escalation — contextualized for EY based on its actual service and tool footprint.
tags:
- salesforce
- automation
capability:
exposes:
- type: mcp
namespace: case-escalate
port: 8080
tools:
- name: execute
description: Salesforce Case Escalation — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: case-escalate.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: case-escalate
baseUri: https://ey.internal.example.com/case-escalate/v1
authentication:
type: bearer
token: $secrets.case_escalate_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
ServiceNow SLA Breach Prediction — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: ServiceNow SLA Breach Prediction
description: ServiceNow SLA Breach Prediction — contextualized for EY based on its actual service and tool footprint.
tags:
- servicenow
- automation
capability:
exposes:
- type: mcp
namespace: sla-predict
port: 8080
tools:
- name: execute
description: ServiceNow SLA Breach Prediction — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: sla-predict.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: sla-predict
baseUri: https://ey.internal.example.com/sla-predict/v1
authentication:
type: bearer
token: $secrets.sla_predict_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Snowflake Warehouse Right-Sizing — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Snowflake Warehouse Right-Sizing
description: Snowflake Warehouse Right-Sizing — contextualized for EY based on its actual service and tool footprint.
tags:
- snowflake
- automation
capability:
exposes:
- type: mcp
namespace: wh-size
port: 8080
tools:
- name: execute
description: Snowflake Warehouse Right-Sizing — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: wh-size.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: wh-size
baseUri: https://ey.internal.example.com/wh-size/v1
authentication:
type: bearer
token: $secrets.wh_size_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Software Asset Reclaim from Idle Licenses — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Software Asset Reclaim from Idle Licenses
description: Software Asset Reclaim from Idle Licenses — contextualized for EY based on its actual service and tool footprint.
tags:
- enterprise
- automation
capability:
exposes:
- type: mcp
namespace: asset-reclaim
port: 8080
tools:
- name: execute
description: Software Asset Reclaim from Idle Licenses — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: asset-reclaim.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: asset-reclaim
baseUri: https://ey.internal.example.com/asset-reclaim/v1
authentication:
type: bearer
token: $secrets.asset_reclaim_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Splunk Dashboard Nightly Snapshot — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Splunk Dashboard Nightly Snapshot
description: Splunk Dashboard Nightly Snapshot — contextualized for EY based on its actual service and tool footprint.
tags:
- splunk
- automation
capability:
exposes:
- type: mcp
namespace: splunk-snap
port: 8080
tools:
- name: execute
description: Splunk Dashboard Nightly Snapshot — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: splunk-snap.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: splunk-snap
baseUri: https://ey.internal.example.com/splunk-snap/v1
authentication:
type: bearer
token: $secrets.splunk_snap_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Splunk Security Event Correlation — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Splunk Security Event Correlation
description: Splunk Security Event Correlation — contextualized for EY based on its actual service and tool footprint.
tags:
- splunk
- automation
capability:
exposes:
- type: mcp
namespace: splunk-sec
port: 8080
tools:
- name: execute
description: Splunk Security Event Correlation — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: splunk-sec.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: splunk-sec
baseUri: https://ey.internal.example.com/splunk-sec/v1
authentication:
type: bearer
token: $secrets.splunk_sec_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Stale Branch Cleanup — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Stale Branch Cleanup
description: Stale Branch Cleanup — contextualized for EY based on its actual service and tool footprint.
tags:
- github
- automation
capability:
exposes:
- type: mcp
namespace: branch-cleanup
port: 8080
tools:
- name: execute
description: Stale Branch Cleanup — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: branch-cleanup.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: branch-cleanup
baseUri: https://ey.internal.example.com/branch-cleanup/v1
authentication:
type: bearer
token: $secrets.branch_cleanup_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Tableau Data Source Refresh Orchestration — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Tableau Data Source Refresh Orchestration
description: Tableau Data Source Refresh Orchestration — contextualized for EY based on its actual service and tool footprint.
tags:
- tableau
- automation
capability:
exposes:
- type: mcp
namespace: tableau-refresh
port: 8080
tools:
- name: execute
description: Tableau Data Source Refresh Orchestration — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: tableau-refresh.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: tableau-refresh
baseUri: https://ey.internal.example.com/tableau-refresh/v1
authentication:
type: bearer
token: $secrets.tableau_refresh_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Tableau Workbook Usage Audit — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Tableau Workbook Usage Audit
description: Tableau Workbook Usage Audit — contextualized for EY based on its actual service and tool footprint.
tags:
- tableau
- automation
capability:
exposes:
- type: mcp
namespace: tableau-audit
port: 8080
tools:
- name: execute
description: Tableau Workbook Usage Audit — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: tableau-audit.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: tableau-audit
baseUri: https://ey.internal.example.com/tableau-audit/v1
authentication:
type: bearer
token: $secrets.tableau_audit_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Unified Customer Lookup Across Systems — contextualized for EY based on its actual service and tool footprint.
naftiko: '0.5'
info:
label: Unified Customer Lookup Across Systems
description: Unified Customer Lookup Across Systems — contextualized for EY based on its actual service and tool footprint.
tags:
- salesforce
- automation
capability:
exposes:
- type: mcp
namespace: customer-lookup
port: 8080
tools:
- name: execute
description: Unified Customer Lookup Across Systems — contextualized for EY based on its actual service and tool footprint.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: customer-lookup.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: customer-lookup
baseUri: https://ey.internal.example.com/customer-lookup/v1
authentication:
type: bearer
token: $secrets.customer_lookup_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
naftiko: '0.5'
naftiko_role_recommendation: api-developer
info:
label: EY API Source Capability
description: Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
tags:
- naftiko
- source-capability
- api
- role:api-developer
capability:
exposes:
- type: mcp
namespace: ey-api
port: 8080
tools:
- name: execute
description: Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-api.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-api
baseUri: https://api.ey.example.com/v1
authentication:
type: bearer
token: $secrets.ey_api_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
naftiko: '0.5'
naftiko_role_recommendation: backend-developer
info:
label: EY API Source Capability
description: Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
tags:
- naftiko
- source-capability
- api
- role:backend-developer
capability:
exposes:
- type: mcp
namespace: ey-api
port: 8080
tools:
- name: execute
description: Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-api.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-api
baseUri: https://api.ey.example.com/v1
authentication:
type: bearer
token: $secrets.ey_api_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Applied capability exposing governance metadata, policy compliance, and audit trails for EY's capability fabric.
naftiko: '0.5'
naftiko_role_recommendation: chief-information-officer
info:
label: EY Governance Capability
description: Applied capability exposing governance metadata, policy compliance, and audit trails for EY's capability fabric.
tags:
- naftiko
- applied-capability
- governance
- role:chief-information-officer
capability:
exposes:
- type: mcp
namespace: ey-governance
port: 8080
tools:
- name: execute
description: Applied capability exposing governance metadata, policy compliance, and audit trails for EY's capability fabric.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-governance.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-governance
baseUri: https://governance.ey.example.com/v1
authentication:
type: bearer
token: $secrets.ey_governance_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Applied capability surfacing fabric-wide health, latency, and circuit-breaker state for EY's SREs and operators.
naftiko: '0.5'
naftiko_role_recommendation: cloud-architect
info:
label: EY Operations Capability
description: Applied capability surfacing fabric-wide health, latency, and circuit-breaker state for EY's SREs and operators.
tags:
- naftiko
- applied-capability
- observability
- role:cloud-architect
capability:
exposes:
- type: mcp
namespace: ey-ops
port: 8080
tools:
- name: execute
description: Applied capability surfacing fabric-wide health, latency, and circuit-breaker state for EY's SREs and operators.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-ops.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-ops
baseUri: https://ops.ey.example.com/fabric/v1
authentication:
type: bearer
token: $secrets.ey_ops_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Applied capability surfacing fabric-wide health, latency, and circuit-breaker state for EY's SREs and operators.
naftiko: '0.5'
naftiko_role_recommendation: cloud-engineer
info:
label: EY Operations Capability
description: Applied capability surfacing fabric-wide health, latency, and circuit-breaker state for EY's SREs and operators.
tags:
- naftiko
- applied-capability
- observability
- role:cloud-engineer
capability:
exposes:
- type: mcp
namespace: ey-ops
port: 8080
tools:
- name: execute
description: Applied capability surfacing fabric-wide health, latency, and circuit-breaker state for EY's SREs and operators.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-ops.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-ops
baseUri: https://ops.ey.example.com/fabric/v1
authentication:
type: bearer
token: $secrets.ey_ops_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Applied capability exposing governance metadata, policy compliance, and audit trails for EY's capability fabric.
naftiko: '0.5'
naftiko_role_recommendation: cloud-security-engineer
info:
label: EY Governance Capability
description: Applied capability exposing governance metadata, policy compliance, and audit trails for EY's capability fabric.
tags:
- naftiko
- applied-capability
- governance
- role:cloud-security-engineer
capability:
exposes:
- type: mcp
namespace: ey-governance
port: 8080
tools:
- name: execute
description: Applied capability exposing governance metadata, policy compliance, and audit trails for EY's capability fabric.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-governance.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-governance
baseUri: https://governance.ey.example.com/v1
authentication:
type: bearer
token: $secrets.ey_governance_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Naftiko applied capability that orchestrates EY's data sources into a single MCP-ready pipeline for analytics and AI workloads.
naftiko: '0.5'
naftiko_role_recommendation: data-engineer
info:
label: EY Data Pipeline Capability
description: Naftiko applied capability that orchestrates EY's data sources into a single MCP-ready pipeline for analytics and AI workloads.
tags:
- naftiko
- applied-capability
- data
- role:data-engineer
capability:
exposes:
- type: mcp
namespace: ey-data
port: 8080
tools:
- name: execute
description: Naftiko applied capability that orchestrates EY's data sources into a single MCP-ready pipeline for analytics and AI workloads.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-data.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-data
baseUri: https://data.ey.example.com/pipelines/v1
authentication:
type: bearer
token: $secrets.ey_data_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Applied capability surfacing fabric-wide health, latency, and circuit-breaker state for EY's SREs and operators.
naftiko: '0.5'
naftiko_role_recommendation: director-of-cloud-engineering
info:
label: EY Operations Capability
description: Applied capability surfacing fabric-wide health, latency, and circuit-breaker state for EY's SREs and operators.
tags:
- naftiko
- applied-capability
- observability
- role:director-of-cloud-engineering
capability:
exposes:
- type: mcp
namespace: ey-ops
port: 8080
tools:
- name: execute
description: Applied capability surfacing fabric-wide health, latency, and circuit-breaker state for EY's SREs and operators.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-ops.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-ops
baseUri: https://ops.ey.example.com/fabric/v1
authentication:
type: bearer
token: $secrets.ey_ops_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
naftiko: '0.5'
naftiko_role_recommendation: director-of-engineering
info:
label: EY Platform Catalog Capability
description: Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
tags:
- naftiko
- source-capability
- platform
- role:director-of-engineering
capability:
exposes:
- type: mcp
namespace: ey-platform
port: 8080
tools:
- name: execute
description: Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-platform.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-platform
baseUri: https://backstage.ey.example.com/api/catalog
authentication:
type: bearer
token: $secrets.ey_platform_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
naftiko: '0.5'
naftiko_role_recommendation: director-of-platform-engineering
info:
label: EY Platform Catalog Capability
description: Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
tags:
- naftiko
- source-capability
- platform
- role:director-of-platform-engineering
capability:
exposes:
- type: mcp
namespace: ey-platform
port: 8080
tools:
- name: execute
description: Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-platform.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-platform
baseUri: https://backstage.ey.example.com/api/catalog
authentication:
type: bearer
token: $secrets.ey_platform_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
naftiko: '0.5'
naftiko_role_recommendation: full-stack-developer
info:
label: EY API Source Capability
description: Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
tags:
- naftiko
- source-capability
- api
- role:full-stack-developer
capability:
exposes:
- type: mcp
namespace: ey-api
port: 8080
tools:
- name: execute
description: Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-api.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-api
baseUri: https://api.ey.example.com/v1
authentication:
type: bearer
token: $secrets.ey_api_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
naftiko: '0.5'
naftiko_role_recommendation: head-of-api
info:
label: EY API Source Capability
description: Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
tags:
- naftiko
- source-capability
- api
- role:head-of-api
capability:
exposes:
- type: mcp
namespace: ey-api
port: 8080
tools:
- name: execute
description: Naftiko source capability wrapping EY's primary API surface, exposing it via MCP and REST for downstream reuse.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-api.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-api
baseUri: https://api.ey.example.com/v1
authentication:
type: bearer
token: $secrets.ey_api_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
naftiko: '0.5'
naftiko_role_recommendation: head-of-integration
info:
label: EY MCP Context Tool
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
tags:
- naftiko
- applied-capability
- mcp
- role:head-of-integration
capability:
exposes:
- type: mcp
namespace: ey-context
port: 8080
tools:
- name: execute
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-context.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-context
baseUri: https://internal.ey.example.com/context/v1
authentication:
type: bearer
token: $secrets.ey_context_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
naftiko: '0.5'
naftiko_role_recommendation: head-of-platform-engineering
info:
label: EY Platform Catalog Capability
description: Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
tags:
- naftiko
- source-capability
- platform
- role:head-of-platform-engineering
capability:
exposes:
- type: mcp
namespace: ey-platform
port: 8080
tools:
- name: execute
description: Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-platform.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-platform
baseUri: https://backstage.ey.example.com/api/catalog
authentication:
type: bearer
token: $secrets.ey_platform_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
naftiko: '0.5'
naftiko_role_recommendation: integration-architect
info:
label: EY MCP Context Tool
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
tags:
- naftiko
- applied-capability
- mcp
- role:integration-architect
capability:
exposes:
- type: mcp
namespace: ey-context
port: 8080
tools:
- name: execute
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-context.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-context
baseUri: https://internal.ey.example.com/context/v1
authentication:
type: bearer
token: $secrets.ey_context_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
naftiko: '0.5'
naftiko_role_recommendation: mlops-engineer
info:
label: EY MCP Context Tool
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
tags:
- naftiko
- applied-capability
- mcp
- role:mlops-engineer
capability:
exposes:
- type: mcp
namespace: ey-context
port: 8080
tools:
- name: execute
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-context.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-context
baseUri: https://internal.ey.example.com/context/v1
authentication:
type: bearer
token: $secrets.ey_context_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
naftiko: '0.5'
naftiko_role_recommendation: platform-engineer
info:
label: EY Platform Catalog Capability
description: Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
tags:
- naftiko
- source-capability
- platform
- role:platform-engineer
capability:
exposes:
- type: mcp
namespace: ey-platform
port: 8080
tools:
- name: execute
description: Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-platform.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-platform
baseUri: https://backstage.ey.example.com/api/catalog
authentication:
type: bearer
token: $secrets.ey_platform_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
naftiko: '0.5'
naftiko_role_recommendation: prompt-engineer
info:
label: EY MCP Context Tool
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
tags:
- naftiko
- applied-capability
- mcp
- role:prompt-engineer
capability:
exposes:
- type: mcp
namespace: ey-context
port: 8080
tools:
- name: execute
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-context.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-context
baseUri: https://internal.ey.example.com/context/v1
authentication:
type: bearer
token: $secrets.ey_context_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
naftiko: '0.5'
naftiko_role_recommendation: solutions-architect
info:
label: EY MCP Context Tool
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
tags:
- naftiko
- applied-capability
- mcp
- role:solutions-architect
capability:
exposes:
- type: mcp
namespace: ey-context
port: 8080
tools:
- name: execute
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-context.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-context
baseUri: https://internal.ey.example.com/context/v1
authentication:
type: bearer
token: $secrets.ey_context_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
naftiko: '0.5'
naftiko_role_recommendation: technical-lead
info:
label: EY MCP Context Tool
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
tags:
- naftiko
- applied-capability
- mcp
- role:technical-lead
capability:
exposes:
- type: mcp
namespace: ey-context
port: 8080
tools:
- name: execute
description: Naftiko applied capability composed over EY's existing source APIs, exposed as an MCP tool for agent context engineering.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-context.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-context
baseUri: https://internal.ey.example.com/context/v1
authentication:
type: bearer
token: $secrets.ey_context_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
naftiko: '0.5'
naftiko_role_recommendation: vp-of-engineering
info:
label: EY Platform Catalog Capability
description: Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
tags:
- naftiko
- source-capability
- platform
- role:vp-of-engineering
capability:
exposes:
- type: mcp
namespace: ey-platform
port: 8080
tools:
- name: execute
description: Source capability that publishes EY's Naftiko fabric into Backstage for catalog, scaffolding, and discovery.
inputParameters:
- name: context
in: body
type: string
description: Contextual parameter for the workflow.
call: ey-platform.execute
with:
context: '{{context}}'
consumes:
- type: http
namespace: ey-platform
baseUri: https://backstage.ey.example.com/api/catalog
authentication:
type: bearer
token: $secrets.ey_platform_token
resources:
- name: default
path: /actions/execute
inputParameters: []
operations:
- name: execute
method: POST
Score Breakdown — Total: 3052
Each row links to its full definition on the Naftiko Signal Groups page.
67 36 26 179 111 51 51 70 30 233 48 49 111 24 33 50 48 39 25 125 152 107 71 65 183 42 77 26 39 43 25 18 74 51 102 78 77 23 73 101 219Areas — Total: 1759
- .NET
- 3D
- A/B Testing
- AI Agents
- AI Applications
- AI Architectures
- AI Ethics
- AI Governance
- AI Platforms
- AI Safety
- AI Securities
- AI Solutions
- AI Technologies
- AI Testing
- AI Toolings
- AI Tools
- AI Trainings
- AJAX
- API Design
- API Development
- API Documentations
- API Gateways
- API Integrations
- API Management
- API Securities
- API Testing
- AWS Step Functions
- Acceptance Testing
- Access Controls
- Access Management
- Access Management Solutions
- Accessibility
- Account Management
- Accountability
- Accounting
- Accounting Platforms
- Accounting Software
- Accounting Systems
- Accounts Payables
- Accounts Receivables
- Active Directory
- Active Directory Domain Services
- Actuarial Sciences
- Ad Management
- Administration
- Administratives
- Advertising
- Agent Development
- Agent Frameworks
- Agentic AI
- Agentic Frameworks
- Agentic Systems
- Agentics
- Agents
- Alerting
- Alerts
- Algorithms
- Ambassadors
- Analysis
- Analytics
- Androids
- Animations
- Anomaly Detections
- Anti-Money Launderings
- Apache Portable Runtimes
- Applicant Tracking Systems
- Application Architectures
- Application Deliveries
- Application Development
- Application Integrations
- Application Lifecycle Management
- Application Management
- Application Performance Management
- Application Platforms
- Application Programming Interfaces
- Application Securities
- Application Servers
- Applications
- Architecture Design
- Architecture Governance
- Architecture Strategies
- Architectures
- Archives
- Artificial Intelligence
- Artificial Intelligence/Machine Learning
- Assessment Tools
- Assessments
- Asset Inventories
- Asset Liability Management
- Asset Management
- Asset Managers
- Asset Valuations
- Assignments
- Asynchronous
- Audit Management
- Audit Processes
- Audit Reports
- Audit Techniques
- Audit Trails
- Audits
- Australias
- Authentications
- Authorizations
- Automated Testing
- Automation
- Automation Platforms
- Automation Testing
- Automotive
- Autonomous Agents
- Autonomous Systems
- Awareness
- Axioms
- BI
- BPM
- Backend Development
- Backends
- Background Checks
- Backups
- Banking
- Banking Platforms
- Banking Supervisions
- Banking Systems
- Bashes
- Batch Processing
- Belts
- Benchmarking Studies
- Benchmarkings
- Benchmarks
- Best Practices
- Big Data
- Billing Management
- Billings
- Biotechnologies
- Blockchains
- Bookings
- Bookkeepings
- Borrowings
- Bots
- Bridges
- Browser Compatibilities
- Browsers
- Budgetings
- Build Securities
- Build Tools
- Business
- Business Analysis
- Business Analytics
- Business Applications
- Business Automation
- Business Continuities
- Business Excellence
- Business Intelligence
- Business Logics
- Business Management
- Business Modeling
- Business Models
- Business Operations
- Business Plannings
- Business Plans
- Business Process
- Business Process Mappings
- Business Solutions
- Business Strategies
- Business Transformations
- Business-to-Business
- C
- CI
- CI/CD Pipelines
- CS Frameworks
- Caches
- Caching
- Calendars
- Campaign Management
- Capacity Management
- Capital Adequacies
- Capital Markets
- Career Development
- Case Laws
- Case Management
- Cash Management
- Catalogs
- Centralized Repositories
- Certificate Authorities
- Certificates
- Certifications
- Change Data Captures
- Change Management
- Charting
- Charts
- Chatbots
- Chats
- Chemical Engineering
- Cities
- Claims Processing
- Classification
- Clearing And Settlements
- Clearings
- Client Analytics
- Client Communications
- Client Data
- Client Experiences
- Client Management
- Client Relations
- Client Relationship Management
- Client Reportings
- Client Services
- Client Solutions
- Client Updates
- Client-servers
- Clients
- Climate Changes
- Climates
- Cloud Adoptions
- Cloud Application Development
- Cloud Architectures
- Cloud Computes
- Cloud Computing
- Cloud Computing Platforms
- Cloud Connectivity
- Cloud Data
- Cloud Data Platforms
- Cloud Data Warehouses
- Cloud Ecosystems
- Cloud Enablement
- Cloud Engineering
- Cloud Environments
- Cloud Governance
- Cloud Implementations
- Cloud Infrastructure
- Cloud Integrations
- Cloud Journeys
- Cloud Landing Zones
- Cloud Migrations
- Cloud Natives
- Cloud Platforms
- Cloud Risks
- Cloud Runs
- Cloud Securities
- Cloud Security Posture Management
- Cloud Service Providers
- Cloud Services
- Cloud Solutions
- Cloud Spanners
- Cloud Storage
- Cloud Strategies
- Cloud Systems
- Cloud Technologies
- Cloud Transformations
- Cloud Workload Protection Platforms
- Cloud-Based
- Cloud-Based Data Platforms
- Cloud-Based Infrastructure
- Cloud-Based Technologies
- Cloud-based Environments
- Cloud-based Solutions
- Cloud-native Applications
- Cloud-native Architectures
- Cloud-native Design
- Cloud-native Engineering
- Cloud-native Platforms
- Cloud-native Services
- Cloud-native Solutions
- Cloud-native Tech
- Cloud-native Technologies
- Clouds
- Clustering
- Coals
- Code Analysis
- Code Management
- Code Quality
- Code Repositories
- Code Reviews
- Code Versioning Tools
- Codes
- Collaboration Tools
- Collaborations
- Collaborative Development
- Collaterals
- Collections
- Commerce
- Commercial Services
- Commodities
- Communications
- Communities
- Community Engagements
- Compatibilities
- Competency Frameworks
- Competitive Analyses
- Competitive Analysis
- Competitive Intelligence
- Competitor Analysis
- Compilations
- Compilers
- Complex Systems
- Compliance
- Compliance Frameworks
- Compliance Management
- Compliance Monitoring
- Compliance Policies
- Compliance Services
- Compliance Solutions
- Compliance Technologies
- Component Frameworks
- Component Libraries
- Computational Modeling
- Computations
- Computer Aided Design
- Computer Aided Engineering
- Computer Aided Manufacturing
- Computer Applications
- Computer Sciences
- Computer Systems
- Computer Visions
- Computers
- Computes
- Computing
- Concurrencies
- Conferences
- Configuration Management
- Configuration Processes
- Configurations
- Connectivity
- Connectors
- Construction
- Consulting Services
- Consultings
- Contacts
- Container Images
- Container Orchestration
- Container Registries
- Container Securities
- Container Services
- Containerization
- Containerization Technologies
- Containerized Applications
- Containerized Workloads
- Containers
- Content Creations
- Content Deliveries
- Content Delivery Networks
- Content Generations
- Content Management
- Content Management Systems
- Content Marketing
- Contents
- Contexts and Dependency Injections
- Continuous Deliveries
- Continuous Deployments
- Continuous Improvements
- Continuous Integration/Continuous Deployments
- Continuous Integrations
- Continuous Learning
- Continuous Monitoring
- Contract Management
- Contributions
- Control Systems
- Controllers
- Controls
- Controls Frameworks
- Conversational AI
- Coordinates
- Core Banking
- Core Systems
- Corporate Banking
- Corporate Finances
- Cost Accounting
- Cost Controls
- Cost Management
- Cost Optimizations
- Country-Specific
- Creative Services
- Creative Suites
- Credentials
- Credit Controls
- Credit Management
- Credit Process
- Credit Ratings
- Credit Risks
- Credit Valuation Adjustments
- Crisis Management
- Critical Thinkings
- Cross Platforms
- Cross-platform Compatibilities
- Cryptographies
- Currencies
- Custodies
- Custom Development
- Custom Software
- Custom Solutions
- Customer Data
- Customer Data Platforms
- Customer Engagements
- Customer Experiences
- Customer Feedback
- Customer Intelligence
- Customer Journeys
- Customer Onboardings
- Customer Relationship Management
- Customer Satisfactions
- Customer Service
- Customer Success
- Customer Support
- Customizations
- Customs
- Cyber Defenses
- Cyber Programs
- Cyber Resiliences
- Cyber Risk Management
- Cyber Securities
- Cyber Security Assessments
- Cybersecurities
- Cybersecurity Frameworks
- DNS, DHCP, and IP Address Management
- DOM Manipulations
- Dashboards
- Data
- Data Access
- Data Acquisition
- Data Analysis
- Data Analysis Tools
- Data Analytic Tools
- Data Analytics
- Data Analytics Platforms
- Data Analytics Tools
- Data Analytics Tools And Techniques
- Data Architectures
- Data Capabilities
- Data Catalogs
- Data Center Operations
- Data Centers
- Data Certifications
- Data Classification
- Data Cleanings
- Data Cleansing
- Data Collections
- Data Consumptions
- Data Conversions
- Data Discoveries
- Data Drifts
- Data Engineering
- Data Entries
- Data Explorations
- Data Extractions
- Data Fabrics
- Data Factories
- Data Flows
- Data Foundations
- Data Gatherings
- Data Governance
- Data Governance Frameworks
- Data Governance Policies
- Data Governance Strategies
- Data Governance Tools
- Data Handling
- Data Infrastructure
- Data Ingestions
- Data Insights
- Data Integrations
- Data Integrity
- Data Intelligence
- Data Interpretations
- Data Lakes
- Data Lifecycle
- Data Lifecycle Management
- Data Lineages
- Data Loadings
- Data Loss Preventions
- Data Management
- Data Management Frameworks
- Data Management Platforms
- Data Management Tools
- Data Manipulations
- Data Mappings
- Data Meshes
- Data Migrations
- Data Minimizations
- Data Mining
- Data Monetizations
- Data Monitoring
- Data Operations
- Data Ownerships
- Data Pipelines
- Data Platforms
- Data Preparations
- Data Privacies
- Data Processes
- Data Processing
- Data Processing Frameworks
- Data Products
- Data Profilings
- Data Protection
- Data Quality
- Data Quality Checks
- Data Quality Frameworks
- Data Quality Management
- Data Reportings
- Data Retentions
- Data Retrievals
- Data Science Workflows
- Data Sciences
- Data Securities
- Data Services
- Data Sharing
- Data Stacks
- Data Storage
- Data Storytellings
- Data Strategies
- Data Structures
- Data Systems
- Data Technologies
- Data Transfers
- Data Transformations
- Data Validation
- Data Visualisations
- Data Visualization Platforms
- Data Visualization Tools
- Data Visualizations
- Data Warehouses
- Data Warehousing
- Data Wranglings
- Data and Analytics
- Data-Driven
- Data-Driven Products
- Data-driven Decision Making
- Data-driven Initiatives
- Data-driven Insights
- Database Administration
- Database Design
- Database Integrations
- Database Management
- Database Performance Tuning
- Database Queries
- Database Securities
- Database Systems
- Database Technologies
- Databases
- Datastages
- Debuggings
- Decision Making
- Decision Support
- Deep Learning
- Defis
- Deliveries
- Dependencies
- Dependency Management
- Dependency Tracking
- Deployment Infrastructure
- Deployment Practices
- Deployment Strategies
- Deployment Tools
- Deployments
- Derivatives
- Design
- Design Principles
- Design Reviews
- Design Software
- Design Systems
- Design Thinkings
- Design Tools
- Desktops
- DevOps Practices
- DevOps Tools
- Developer Experiences
- Development
- Development Lifecycle
- Development Operations
- Development Platforms
- Development Practices
- Development Process
- Development Tools
- Diagnostic Tools
- Diagnostics
- Diagrammings
- Digital Arts
- Digital Assets
- Digital Banking
- Digital Channels
- Digital Contents
- Digital Engagements
- Digital Experiences
- Digital Identities
- Digital Infrastructure
- Digital Marketing
- Digital Payments
- Digital Products
- Digital Solutions
- Digital Storytellings
- Digital Strategies
- Digital Systems
- Digital Technologies
- Digital Tools
- Digital Transformations
- Digital Twins
- Digital Wallets
- Digitals
- Digitizations
- Directed Acyclic Graphs
- Directory
- Directory Services
- Disaster Recovery
- Distributed
- Distributed Computing
- Distributed Systems
- Distributions
- Document Management
- Document Management Systems
- Document Object Models
- Documentations
- Documents
- Drift Detections
- Due Diligences
- Dynamic Application Security Testing
- Dynamics
- E-bankings
- E-commerces
- E-learnings
- E-signatures
- ERP
- ESB
- ESG Data
- Econometrics
- Economic Analysis
- Economics
- Ecosystems
- Edteches
- Educations
- Efficiencies
- Electric Vehicles
- Electronic Data Interchange
- Electronic Platforms
- Electronics
- Email Marketing
- Email Securities
- Emails
- Embedded Analytics
- Embeddings
- Employee Engagements
- Employee Experiences
- Employment
- Enablement
- Encryptions
- End To End
- Endpoint Detection And Responses
- Endpoint Management
- Endpoint Protection
- Endpoint Securities
- Energies
- Energy Efficiencies
- Engineering
- Enterprise AI
- Enterprise Applications
- Enterprise Architectures
- Enterprise Content Management
- Enterprise Data
- Enterprise IT
- Enterprise Integrations
- Enterprise Management
- Enterprise Performance Management
- Enterprise Resource Planning
- Enterprise Risk Management
- Enterprise Risks
- Enterprise Securities
- Enterprise Software
- Enterprise Solutions
- Enterprise Systems
- Enterprise Technologies
- Enterprises
- Entertainments
- Entity Data
- Entrepreneurships
- Environment Management
- Equipments
- Equities
- Error Handling
- Estimations
- Ethical Hackings
- Ethics
- Evaluation Frameworks
- Evaluations
- Event Management
- Event Plannings
- Event Technologies
- Events
- Examples
- Excels
- Executions
- Executive Reportings
- Experiment Design
- Experimentations
- Exploitations
- Exploratory Data Analysis
- Extended Detection and Responses
- Extensions
- External Databases
- External Services
- External Systems
- Extract Transform Loads
- Facial Recognitions
- Facilities Management
- Feature Engineering
- Feature Stores
- Federations
- Feedback
- Finances
- Financial Accounting
- Financial Analysis
- Financial Crimes
- Financial Data
- Financial Engineering
- Financial Infrastructure
- Financial Instruments
- Financial Management
- Financial Modeling
- Financial Models
- Financial Operations
- Financial Plannings
- Financial Reportings
- Financial Researches
- Financial Risk Management
- Financial Services
- Financial Software
- Financial Systems
- Fine-tunings
- Fintech
- Firewall Management
- Firewalls
- First-Party Data
- Fixed Incomes
- Flexibilities
- Flexible Workings
- Flinks
- Forecasting
- Forecasting Models
- Forexes
- Forge
- Formatting Objects Processors
- Forms
- Foundations
- Frameworks
- Fraud Detections
- Fraud Preventions
- Frenches
- Front-ends
- Frontend Development
- Frontend Frameworks
- Frontends
- Full Stack Development
- Full Stacks
- Functional Testing
- Functions
- Fund Accounting
- Gateways
- General Ledgers
- Generative AI
- Generative Models
- Genomics
- Geographies
- Geospatials
- GitHub Copilots
- Global Markets
- Global Positioning Systems
- Globalizations
- Google Cloud Functions
- Goverances
- Governance
- Governance And Controls
- Governance Frameworks
- Governance Tools
- Government
- Graphic Design
- Graphical User Interfaces
- Graphics
- Graphics Processing Units
- Graphs
- HCM
- HR Analytics
- HR Systems
- HR Tech
- HR Technologies
- Hadoop Distributed File Systems
- Hardenings
- Hardware
- Healthcare
- Healthcare Systems
- Hedging
- Help Desks
- High Availabilities
- High Performances
- High Throughputs
- Hirings
- Hospitality
- Hosting
- Human Factors
- Human Resources
- Human-Centered Design
- Hybrid Clouds
- Hypothesis Testing
- IT Architectures
- IT Audits
- IT Consultings
- IT Governance
- IT Infrastructure
- IT Management
- IT Operations
- IT Plannings
- IT Platforms
- IT Project Management
- IT Risk Management
- IT Risks
- IT Services
- IT Strategies
- Ideas
- Ideations
- Identities
- Identity And Access Management
- Identity Providers
- Image Generations
- Image Scannings
- Implementations
- In Memories
- Incident Management
- Incident Management Tools
- Incident Responses
- Inclusive Design
- Indexings
- Industrial Automation
- Industrial Engineering
- Industry Reports
- Inferences
- Informatics
- Information Architectures
- Information Management
- Information Protection
- Information Retrievals
- Information Securities
- Information Sharing
- Information Systems
- Information Technologies
- Informationssystemes
- Infrastructure
- Infrastructure As Codes
- Infrastructure Components
- Infrastructure Management
- Infrastructure Monitoring
- Infrastructure Securities
- Innovation
- Insights
- Inspections
- Instant Messaging
- Insurances
- Integrated Development Environments
- Integrated Solutions
- Integration Frameworks
- Integration Platforms
- Integration Strategies
- Integration Testing
- Integration Tests
- Integrations
- Integrity
- Intellectual Properties
- Intelligence
- Interactive Prototypes
- Interactive Voice Responses
- Interactives
- Interface Design
- Interfaces
- Internal Applications
- Internal Audits
- Internal Communications
- Internal Control Frameworks
- Internal Controls
- Internal Networks
- Internal Systems
- Internal Tools
- International Banking
- International Trades
- Internet
- Internet Securities
- Internet of Things
- Interoperabilities
- Intranets
- Intrusion Detections
- Intrusion Prevention Systems
- Intrusion Preventions
- Inventory Management
- Investment Banking
- Investment Funds
- Investment Management
- Investments
- Isolations
- Issue Tracking
- Iterative Development
- Ivies
- Java Virtual Machines
- Job Scheduling
- Journalism
- Journey Mappings
- Kernels
- Key Metrics
- Key Risk Indicators (KRIs)
- Key Values
- Knowledge Bases
- Knowledge Graphs
- Knowledge Management
- Knowledge Sharing
- LLM
- LLM Orchestration
- Language Understandings
- Large Data Sets
- Large Datasets
- Large Language Models
- Law Enforcements
- Lead Generations
- Lead Management
- Leaderships
- Learning
- Learning And Development
- Learning Technologies
- Ledgers
- Legacy Systems
- Legal
- Legal Compliances
- Legal Researches
- Legal Tech
- Lendings
- Lessons Learned
- Libraries
- Licensings
- Life Cycle Management
- Lifecycle Management
- Lightings
- Linear Algebras
- Liquidity Management
- Liquidity Risk Management
- Local GAAP
- Localizations
- Log Analytics
- Log Management
- Logging
- Logistics
- Low Codes
- Low-Code Platforms
- M&AS
- ML Algorithms
- ML Engineering
- MLOps Platforms
- Machine Learning
- Machine Learning Algorithms
- Machine Learning Engineering
- Machine Learning Frameworks
- Machine Learning Models
- Machine Learning Platforms
- Machine Learning Technologies
- Mails
- Mainframes
- Maintenance
- Managed Services
- Management
- Management Accounting
- Management Information
- Management Software
- Management Systems
- Management Tools
- Manual Processes
- Manual Testing
- Manufacturing
- Mappings
- Market Analysis
- Market Analytics
- Market Data
- Market Information
- Market Intelligence
- Market Researches
- Market Risks
- Marketing
- Marketing Automation
- Marketing Strategies
- Marketing Technologies
- Marketplaces
- Markets
- Master Data
- Master Data Management
- Material Design
- Mathematics
- Matrixes
- Measurements
- Media
- Media Management
- Mediations
- Meeting Management
- Meetings
- Memory Management
- Mentoring
- Mergers And Acquisitions
- Message Queues
- Messaging
- Messaging Systems
- Metadata
- Metadata Management
- Metrics
- Micro-services
- Microservices
- Microsoft Access
- Middle Offices
- Middlewares
- Migration Plannings
- Migrations
- Milestone Tracking
- Mission Critical
- Mobile Applications
- Mobile Apps
- Mobile Devices
- Mobile Technologies
- Mobile Testing
- Mobiles
- Mockings
- Model Analysis
- Model Context Protocols
- Model Context Protocols (MCP)
- Model Deployments
- Model Development
- Model Evaluations
- Model Governance
- Model Lifecycle Management
- Model Monitoring
- Model Orchestration
- Model Performance
- Model Servings
- Model Validation
- Model Versionings
- Modeling
- Modernizations
- Monetizations
- Monitoring
- Monitoring Tools
- Monte Carlo Simulations
- Monte Carloes
- Ms Products
- Multi-Agent Systems
- Multi-Factor Authentications
- Multi-channels
- Multi-platforms
- Multi-regions
- Multimodal AI
- Multimodals
- Multiplatforms
- Multiple Systems
- NLP
- Named Entity Recognitions
- Natural Language Processing
- Navigation
- Negotiations
- Netwerkens
- Network Access
- Network Architectures
- Network Design
- Network Devices
- Network Infrastructure
- Network Monitoring
- Network Securities
- Networking
- Neural Networks
- News
- Newsletters
- NoSQL
- Nostro
- Notebooks
- Notifications
- OIA
- OLE for Process Controls
- ORM
- Object Storage
- Object-Oriented
- Observability
- Observability Stacks
- Observability Tools
- Office Applications
- Office Management
- Office Software
- Office Suites
- Omnichannels
- Onboardings
- Online Tools
- Open Source
- Operating Systems
- Operational Efficiencies
- Operational Excellence
- Operational Metrics
- Operational Practices
- Operational Reportings
- Operational Resiliences
- Operational Risk Management
- Operational Risks
- Operational Systems
- Operational Technologies
- Operations
- Operations Management
- Operations Researches
- Operators
- Optical Character Recognitions
- Optimization Techniques
- Optimizations
- Options
- Orchestration
- Order Management
- Organizational Changes
- Organizational Design
- Organizational Development
- Organizational Structures
- Organizational Transformations
- Organizations
- Package Managers
- Packages
- Packaging
- Patch Management
- Pattern Recognitions
- Patterns
- Pay Per Clicks
- Payment Channels
- Payment Processing
- Payment Solutions
- Payment Systems
- Payments
- Payroll
- Penetration Testing
- Performance
- Performance Analysis
- Performance Engineering
- Performance Evaluations
- Performance Improvements
- Performance Management
- Performance Measurements
- Performance Metrics
- Performance Monitoring
- Performance Optimizations
- Performance Testing
- Performance Tracking
- Performance Tuning
- Persistences
- Personalizations
- Physical Securities
- Pigs
- Pillar 3S
- Pipeline Management
- Pipeline Orchestration
- Pipelines
- Pivot Tables
- Planning Analytics
- Plannings
- Platform Development
- Platform Ecosystems
- Platform Engineering
- Platform Management
- Platform Modernizations
- Platform Observability
- Platform Services
- Platform Solutions
- Platform Strategies
- Platforms
- Plugins
- Policies
- Policy Administration
- Policy Analysis
- Policy Enforcements
- Policy Management
- Portables
- Portals
- Portfolio Management
- Portfolio Reviews
- Practice Management
- Predictabilities
- Predictions
- Predictive Analytics
- Predictive Modeling
- Presentations
- Pricing Strategies
- Pricing Systems
- Pricing Tools
- Pricings
- Prioritizations
- Privacy
- Privacy Impact Assessments
- Private Clouds
- Privilege Escalations
- Probabilistic Models
- Probabilities
- Probability Theories
- Problem Management
- Problem Resolutions
- Problem Solving
- Process Analysis
- Process Analytics
- Process Automation
- Process Controls
- Process Design
- Process Documentations
- Process Engineering
- Process Frameworks
- Process Improvements
- Process Management
- Process Mapping Tools
- Process Mappings
- Process Maps
- Process Mining
- Process Optimizations
- Process Re-engineerings
- Process Reengineerings
- Process Streamlinings
- Processes
- Procure To Pays
- Procurement Tools
- Procurements
- Product Costings
- Product Design
- Product Development
- Product Development Lifecycle
- Product Management
- Product Owners
- Product Ownerships
- Product Roadmaps
- Product Strategies
- Product Testing
- Production
- Production Deployments
- Production Environments
- Production Support
- Production Systems
- Productivity
- Productivity Tools
- Products
- Professional Development
- Professional Services
- Profilings
- Profitability Analysis
- Program Management
- Programmable Logic Controllers
- Programming
- Programming Languages
- Project Charters
- Project Governance
- Project Management
- Project Management Processes
- Project Management Tools
- Projects
- Prompt Engineering
- Promptings
- Prompts
- Proprietary Software
- Protection
- Protocols
- Prototype Development
- Prototyping
- Provisionings
- Proxies
- Psychologies
- Public Clouds
- Public Healths
- Public Key Infrastructure
- Purchasings
- QA
- QA Automation
- QA Process
- Quality Assurance
- Quality Assurance Processes
- Quality Assurance Reviews
- Quality Controls
- Quality Frameworks
- Quality Management
- Quality Metrics
- Quality Tools
- Quantitative Analysis
- Quantitative Finances
- Quantitative Methods
- Quantitative Models
- Quantum Computing
- Query Optimizations
- Question Answerings
- Queues
- Rapid Development
- Rapid Prototyping
- Rate Limitings
- Ratings
- Real Estates
- Real Time
- Real-Time Operating Systems
- Real-time Analytics
- Real-time Data
- Real-time Operations
- Real-time Streamings
- Real-time Visibility
- Reasonings
- Receivables Management
- Reconciliations
- Recordings
- Records Management
- Recruitings
- Recruitment
- Reference Models
- Registrations
- Regression Analysis
- Regression Testing
- Regulatory Affairs
- Regulatory Compliances
- Regulatory Filings
- Regulatory Intelligence
- Regulatory Reportings
- Reinforcement Learning
- Relational Data
- Relational Database Management Systems
- Relational Databases
- Relationals
- Relationship Buildings
- Relationship Management
- Release Activities
- Release Governance
- Release Management
- Release Management Processes
- Release Plannings
- Reliabilities
- Remote Access
- Rendering
- Renewable Energies
- Reporting And Analytics
- Reporting And Measurements
- Reporting Dashboards
- Reporting Frameworks
- Reporting Mechanisms
- Reporting Metrics
- Reporting Platforms
- Reporting Solutions
- Reporting Systems
- Reporting Tools
- Reportings
- Repository Management
- Repository Managers
- Requirements
- Requirements Gatherings
- Requirements Management
- Research
- Research Tools
- Resiliences
- Resiliency
- Resource Allocations
- Resource Management
- Resource Plannings
- Resource Scheduling
- Rest Assured
- Retails
- Reusable Components
- Revenue Generations
- Revenue Intelligence
- Revenue Operations
- Revenues
- Reverse Proxies
- Reviews
- Rich Internet Applications
- Risk Analysis
- Risk Assessments
- Risk Management
- Risk Management Systems
- Risk Models
- Risk Systems
- Robotic Process Automation
- Robotics
- Robustness
- Root Cause Analysis
- Routers
- Routings
- Runtime Securities
- Runtimes
- SQL Databases
- SQL Queries
- SUMIF
- SaaS Solutions
- Safes
- Safety
- Sales
- Sales Enablement
- Sanctions
- Sanctions Screenings
- Sandboxes
- Scalabilities
- Scaling
- Scannings
- Scenario Analysis
- Scenario Modeling
- Scenarios
- Scheduling
- Scorings
- Screenings
- Scripting Languages
- Scriptings
- Search
- Search Engine Optimizations
- Search Engines
- Secure Architectures
- Secure Coding Practices
- Secure Codings
- Secure Development
- Securities Management
- Security
- Security Analysis
- Security Architectures
- Security Assessments
- Security Audits
- Security Automation
- Security Best Practices
- Security Compliances
- Security Controls
- Security Design
- Security Development Lifecycle
- Security Engineering
- Security Frameworks
- Security Governance
- Security Incident Responses
- Security Information and Event Management
- Security Infrastructure
- Security Management
- Security Measures
- Security Monitoring
- Security Operations
- Security Orchestration, Automation and Responses
- Security Platforms
- Security Procedures
- Security Requirements
- Security Reviews
- Security Risk Assessments
- Security Solutions
- Security Systems
- Security Testing
- Security Tools
- Segmentations
- Semi Structured Data
- Serializations
- Server-Side Rendering
- Serverless
- Serverless Architectures
- Servers
- Service Bus
- Service Catalogs
- Service Deliveries
- Service Design
- Service Desks
- Service Frameworks
- Service Management
- Service Mappings
- Service Meshes
- Service Operations
- Service Recovery
- Service Strategies
- Services
- Settlements
- Shared Responsibilities
- Shells
- Shippings
- Short Message Services
- Simple API for XML
- Simulation Tools
- Simulations
- Skill Development
- Skills Development
- Slides
- Smart Contracts
- Smart Workings
- Social
- Social Media
- Software
- Software Applications
- Software Architectures
- Software Asset Management
- Software Configuration Management
- Software Configurations
- Software Deliveries
- Software Design
- Software Development
- Software Development Best Practices
- Software Development Kits
- Software Engineering
- Software Licensings
- Software Quality
- Software Solutions
- Software Testing
- Software Tools
- Software-as-a-Service
- Solutions
- Source Code Management
- Source Codes
- Source Control Management
- Source Controls
- Source Systems
- Sourcings
- Spatial Data
- Spreadsheets
- Stakeholder Management
- Standups
- Startups
- State Management
- Statefuls
- Static Analysis
- Static Application Security Testing
- Statistical Analysis
- Statistical Analysis Techniques
- Statistical Modeling
- Statistical Modellings
- Statistical Models
- Statistical Packages
- Statistical Techniques
- Statistical Tools
- Statistics
- Stochastic Calculus
- Storage
- Stored Procedures
- Strategic Design
- Strategic Plannings
- Strategies
- Stream Analytics
- Streaming Architectures
- Streaming Data
- Streamings
- Stress Testing
- Structured Data
- Structured Products
- Structured Streamings
- Subscriptions
- Supervised Learning
- Supplier Management
- Supply Chain Management
- Supply Chain Securities
- Supply Chains
- Support
- Support Systems
- Support Ticketing
- Surveillances
- Sustainability
- Switches
- System Administration
- System Analysis
- System Architectures
- System Configurations
- System Design
- System Development
- System Implementations
- System Integrations
- System Interfaces
- System Management
- System Monitoring
- System Of Records
- System Optimizations
- System Performances
- System Requirements
- System Securities
- System Solutions
- System Tools
- Systems
- Systems Analysis
- Systems Design
- Systems Development
- Systems Engineering
- Systems Integrations
- Systems Management
- Tainas
- Talent Acquisition
- Talent Management
- Task Management
- Tasks
- Tax Compliances
- Tax Laws
- Tax Plannings
- Tax Researches
- Tax Software
- Tax Systems
- Tax Technology Solutions
- Taxes
- Team Collaborations
- Team Communications
- Team Development
- Team Management
- Technical Debt
- Technical Reviews
- Technical Support
- Technical Writings
- Technologies
- Technology Adoptions
- Technology Architectures
- Technology Enhancements
- Technology Platforms
- Technology Risk Management
- Technology Services
- Technology Stacks
- Technology Strategies
- Technology Upgrades
- Telecommunications
- Telefons
- Telefoons
- Telemetry
- Telephonies
- Territory Management
- Test Anything Protocols
- Test Automation
- Test Automation Tools
- Test Executions
- Test Management
- Test Management Tools
- Test Strategies
- Test Tools
- Testing Frameworks
- Testing Strategies
- Testing Tools
- Tests
- Text Analytics
- Text Mining
- Text Processing
- Third Parties
- Third Party Risks
- Third-Party Integrations
- Third-party Libraries
- Third-party Risk Management
- Third-party Systems
- Threat Detections
- Threat Huntings
- Threat Intelligence
- Threat Management
- Threat Modeling
- Ticketing
- Ticketing Systems
- Tickets
- Time Management
- Time Series
- Time Series Analysis
- Timelines
- Tokenizations
- Tokens
- Tools
- Total Rewards
- Tracing
- Tracking
- Tracs
- Trade Finances
- Trade Operations
- Trade Processing
- Trade Services
- Trading Systems
- Tradings
- Trainings
- Transaction Management
- Transaction Monitoring
- Transaction Processing
- Transformations
- Transformers
- Translations
- Transparency
- Transportation
- Travel Management
- Travels
- Treasuries
- Treasury Management
- Treasury Operations
- Troubleshooting
- Tuning
- Turkishes
- UI
- UI Components
- UI Design
- UX
- UX Design
- Ui Frameworks
- Underwritings
- Unit Testing
- Unixes
- Unstructured Data
- Unsupervised Learning
- Updates
- Urban Plannings
- Usabilities
- Usability Testing
- User Acceptance Testing
- User Administration
- User Experiences
- User Feedback
- User Guides
- User Interface/User Experiences
- User Interfaces
- User Journeys
- User Life Cycles
- User Provisionings
- User Researches
- User Testing
- Utilities
- VBA
- Validation
- Validation Frameworks
- Validation Rules
- Valuation Models
- Valuation Software
- Valuations
- Value Streams
- Vector Databases
- Vector Stores
- Vendor Management
- Venture Capital
- Venues
- Verifications
- Version Control Systems
- Version Controls
- Versionings
- Video Productions
- Videos
- Virtual Environments
- Virtualizations
- Visibility
- Visual Design
- Visualizations
- Voice
- Votings
- Vues
- Vulnerability Assessments
- Vulnerability Management
- Vulnerability Reductions
- Vulnerability Scannings
- Wallets
- Warehouse Management
- Wealth Management
- Web API
- Web Application Development
- Web Applications
- Web Apps
- Web Based
- Web Components
- Web Design
- Web Development
- Web Frameworks
- Web Performances
- Web Searches
- Web Servers
- Web Services
- Web Technologies
- Web-based Applications
- Webinars
- Webs
- Wellbeings
- Whiteboards
- Wi-Fi
- Windows Servers
- Wins
- Words
- Workflow Automation
- Workflow Design
- Workflow Management
- Workflow Management Tools
- Workflow Orchestration
- Workflow Systems
- Workflow Tools
- Workflows
- Workforce Development
- Workforce Management
- Working Capital
- Workplace Technologies
- Workshops
- Workspaces
Services — Total: 322
- ADP
- AWS Lambda
- Adobe
- Adobe Acrobat
- Adobe Analytics
- Adobe Campaign
- Adobe Captivate
- Adobe Creative Cloud
- Adobe Creative Suite
- Adobe Illustrator
- Adobe Launch
- Adobe Photoshop
- Adobe Premiere Pro
- Adobe Suite
- Alteryx
- Amazon API Gateway
- Amazon ECS
- Amazon Kinesis
- Amazon Redshift
- Amazon S3
- Amazon SageMaker
- Amazon Web Services
- Ambassador
- Android
- Ansible Automation Platform
- Anthropic
- Apache Airflow
- Apache Software Foundation
- Apigee
- Appian
- Apple
- Ariba
- Aruba
- Asana
- AutoCAD
- Autodesk Maya
- Azure API Management
- Azure Active Directory
- Azure Data Factory
- Azure Databricks
- Azure DevOps
- Azure Functions
- Azure Key Vault
- Azure Kubernetes Service
- Azure Log Analytics
- Azure Machine Learning
- Azure Monitor
- Azure Pipelines
- Azure Service Bus
- Azure Synapse Analytics
- Azure Update Manager
- Azure Virtual Desktop
- BigCommerce
- Bitbucket
- Bloomberg
- Bloomberg AIM
- Bloomberg Buyside Enterprise Solutions
- Bloomberg EMSX
- Bloomberg Economics
- Bloomberg Enterprise Data
- Bloomberg Intelligence
- Bloomberg News
- Boomi
- Box
- Broadcom
- BrowserStack
- Burp Suite
- Calypso
- Camtasia
- Canva
- ChatGPT
- Checkmarx
- Choreo
- Circana
- Cisco
- Cisco Firepower
- Cisco Nexus
- Citrix NetScaler
- Claude
- CloudFormation
- CloudWatch
- Cloudflare
- Cobalt
- Concur
- Conductor
- Confluence
- Cortex
- Coupa
- Crystal Reports
- Cvent
- Dagster
- Databricks
- Databricks Workflows
- Datadog
- Dealogic
- DocuSign
- DynamoDB
- Dynatrace
- EC2
- EMC
- F5 Networks
- FactSet
- Fargate
- Fern
- Figma
- Fortify
- Fortinet
- Fusio
- G2
- GCP Cloud Storage
- Gemini
- GitHub
- GitHub Actions
- GitHub Copilot
- GitLab
- Gong
- Google Analytics
- Google Android
- Google Apps Script
- Google Cloud Dataflow
- Google Cloud Logging
- Google Cloud Platform
- Google Docs
- Google Drive
- Google Forms
- Google Maps
- Google Marketing Platform
- Google Optimize
- Google Search Console
- Google Sheets
- Google Slides
- Google Tag Manager
- Google Workspace
- Harness
- HubSpot
- Hugging Face
- IBM
- Informatica
- Informática
- IntelliJ IDEA
- International Business Machines
- Intuit
- Istio
- Jira
- Juniper
- Juniper Networks
- Jupyter Notebook
- Kinesis
- Kion
- Knit
- Konfig
- Kong
- Lambda
- Lightroom
- Linkerd
- Looker
- MATLAB
- MailChimp
- Make
- Mastercard
- Maya
- McAfee
- Merge
- Meta
- Metasploit
- Microsoft
- Microsoft .NET
- Microsoft 365
- Microsoft Access
- Microsoft Azure
- Microsoft Bicep
- Microsoft Configuration Manager
- Microsoft Copilot
- Microsoft Defender
- Microsoft Dynamics
- Microsoft Dynamics 365
- Microsoft Edge
- Microsoft Endpoint Configuration Management
- Microsoft Endpoint Manager
- Microsoft Entity Framework
- Microsoft Entra
- Microsoft Excel
- Microsoft Exchange
- Microsoft Graph
- Microsoft Intune
- Microsoft Office
- Microsoft Office 365
- Microsoft Outlook
- Microsoft Planner
- Microsoft Power Apps
- Microsoft Power Automate
- Microsoft Power Platform
- Microsoft PowerPoint
- Microsoft Project
- Microsoft Purview
- Microsoft Sentinel
- Microsoft Teams
- Microsoft Technologies
- Microsoft Visio
- Microsoft Windows
- Microsoft Windows Server
- Microsoft Word
- Mistral
- Moody's
- MuleSoft
- Murex
- Navision
- Nessus
- NetApp
- New Relic
- OpenAI
- OpenAI APIs
- OpenShift
- Oracle
- Oracle APEX
- Oracle Cloud
- Oracle Database
- Oracle E-Business Suite
- Oracle Enterprise Manager
- Oracle Fusion
- Oracle General Ledger
- Oracle GoldenGate
- Oracle Hyperion
- Oracle Integration
- Oracle Planning
- Oracle WebLogic
- Palo Alto Networks
- Paradox
- PeopleSoft
- Perforce
- Photoshop
- Pluralsight
- Port
- Postman
- Power Apps
- Power BI
- Power Platform
- Power Query
- Prefect
- Prisma
- Productiv
- Prosci
- Pulse
- QRadar
- Qlik
- Qlik Sense
- QlikSense
- QlikView
- Qube
- ReadMe
- Red Hat
- Red Hat Ansible Automation Platform
- Red Hat Enterprise Linux
- Refinitiv
- Refinitiv Eikon
- Reuters
- SAP
- SAP API Management
- SAP Ariba
- SAP BI
- SAP BW
- SAP Concur
- SAP HANA
- SAP Integration Suite
- SAP S/4HANA
- SAP Sales and Distribution (SD)
- SQL Server
- SailPoint
- Salesforce
- Salesforce Automation
- Salesforce Experience Cloud
- Salesforce Lightning
- Salesforce Marketing Cloud
- Sentry System
- ServiceNow
- SharePoint
- Shell
- Snowflake
- SolarWinds
- Solaris Zones
- Sonatype Nexus
- Sparx Enterprise Architect
- Splunk
- Splunk Enterprise Security
- Spot
- Square
- TIBCO
- Tableau
- Tableau Desktop
- Tagetik
- Talend
- Tanium
- TeamCity
- Temenos
- Temenos Transact
- Teradata
- Tradeweb
- Triton
- Tyk
- Unity
- Unix
- VMware
- Vantage
- Veritas InfoScale
- Veritas NetBackup
- Veritas Volume Manager
- Visio
- WebLogic
- WebSphere
- Workday
- Yardi
- Youtube
- Zendesk
- ZoomInfo
- n8n
- nOps
Tools — Total: 197
- Angular
- Ansible
- Apache
- Apache AGE
- Apache APR
- Apache Airflow
- Apache Ant
- Apache Aries
- Apache Arrow
- Apache Atlas
- Apache Avro
- Apache Axis
- Apache Beam
- Apache Bloodhound
- Apache BookKeeper
- Apache Cassandra
- Apache DolphinScheduler
- Apache Drill
- Apache Flex
- Apache Flink
- Apache FreeMarker
- Apache Gora
- Apache Groovy
- Apache Hadoop
- Apache Helix
- Apache Hive
- Apache Hop
- Apache Iceberg
- Apache Ignite
- Apache Ivy
- Apache JMeter
- Apache James
- Apache Kafka
- Apache MINA
- Apache Mahout
- Apache Maven
- Apache NiFi
- Apache ORC
- Apache Olingo
- Apache OpenJPA
- Apache POI
- Apache Parquet
- Apache Phoenix
- Apache Pig
- Apache Pivot
- Apache Portals
- Apache Pulsar
- Apache Ranger
- Apache Roller
- Apache Rya
- Apache SINGA
- Apache Serf
- Apache SkyWalking
- Apache SpamAssassin
- Apache Spark
- Apache Spatial
- Apache Steve
- Apache Storm
- Apache Streams
- Apache Subversion
- Apache Synapse
- Apache Tez
- Apache Tika
- Apache Tomcat
- Apache Traffic Control
- Apache Traffic Server
- Apache Velocity
- Apache Web Services
- Apache XML Graphics
- Apache ZooKeeper
- Argo
- Buildpacks
- C#
- C++
- Chef
- ClickHouse
- Cloud Custodian
- Consul
- Copa
- Cortex
- Cucumber
- Dex
- Django
- Docker
- Docker Swarm
- Eclipse
- Elastic Stack
- Elasticsearch
- Elk
- Elk Stack
- Envoy
- Ethereum
- Falco
- FastAPI
- Fluid
- Flux
- Git
- Grafana
- Harbor
- Hashicorp Vault
- Helm
- Hexa
- Hibernate
- Hugging Face Transformers
- Istio
- JBoss
- JUnit
- Jaeger
- Jenkins
- Jest
- Jupyter
- KEDA
- KServe
- Kafka Connect
- Keycloak
- Kibana
- Kotlin
- Kubeflow
- Kubernetes
- Kubernetes Operators
- Kubernetes Services
- Kyverno
- Lean
- Lightning Web Components
- Lima
- Linkerd
- Linux
- Llama
- Logstash
- Matplotlib
- Mockito
- MongoDB
- MySQL
- NATS
- NUnit
- Nexus
- Nginx
- Node.js
- NumPy
- ORAS
- Open Policy Agent
- OpenSearch
- OpenTelemetry
- PHP
- Packer
- Pandas
- Perl
- Pixie
- Playwright
- Podman
- Porter
- PostgreSQL
- PowerShell
- Prometheus
- Pulumi
- Puppet
- PySpark
- PyTorch
- Python
- R
- RabbitMQ
- Radius
- React
- React Native
- Redis
- Redux
- Rook
- SOPS
- SPIRE
- SVN
- Scala
- Score
- Selenium
- Semantic Kernel
- Sonar
- SonarQube
- Spring
- Spring Boot
- Spring Boot Admin Console
- Spring Cloud Stream
- Spring Data
- Spring Framework
- Spring Security
- Swift
- TensorFlow
- Terraform
- Ubuntu
- Vault
- Vite
- Vitess
- Vue.js
- WordPress
- YARN
- bootc
- gRPC
- jQuery
- werf
Standards — Total: 203
- ACID
- AIS
- API-First
- Acceptance Criteria
- Accessibility Standards
- Accounting Standards
- Actor Model
- Agile
- Agile Delivery
- Agile Methodology
- Agile SDLC
- Architecture Pattern
- BDD
- BLE
- Banking Regulation
- Basel III
- Big O Notation
- CCPA
- CHANGELOG.md
- CITATION.cff
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- CONTRIBUTORS.md
- CS
- Capital Requirements
- Certificate Enrolment Protocols
- Communication Protocols
- Component Model
- Consensus
- Convention Over Configuration
- Cybersecurity Standards
- DHCP
- DNS
- Data Flow Diagrams
- Data Format
- Data Modeling
- Data Models
- Data Privacy Standards
- Data Quality Standards
- Data Warehouse Schemas
- Database Schema Design
- Defense In Depth
- Dependency Injection
- Design Patterns
- Design Standards
- DevOps
- DevSecOps
- Development Methodology
- Dimensional Modeling
- Disclosure Requirements
- Domain-Driven Design
- Enterprise Integration Patterns
- Entity Relationship
- Equator Principles
- Event Sourcing
- Event-driven Architecture
- Extreme Programming
- FDA Regulations
- FTP
- FinOps
- Financial Regulation
- Flowcharts
- Functional Programming
- GDPR
- Gherkin
- GitOps
- Good Manufacturing Practices
- GraphQL
- HIPAA
- HTML
- HTML5
- HTTP
- HTTP/2
- IAM
- ISO
- ISO Standard
- IT Standards
- ITIL
- ITSM
- Integration Patterns
- Interface Specifications
- Internal Control Standards
- Inversion Of Control
- JDBC
- JPA
- JSON
- Jakarta EE
- Java EE
- Kanban
- LDAP
- LICENSE.md
- Lakehouse Architecture
- Lean Management
- Lean Manufacturing
- Lean Six Sigma
- Lean Six Sigma Black Belt
- MLOps
- MVC
- MapReduce
- Methodology
- Mockups
- NFC
- NIO
- NIST
- Network Protocols
- Normalization
- OAuth
- OCI
- OData
- OIDC
- OWASP
- Object-Oriented Programming
- OpenAPI
- OpenID Connect
- PCI Compliance
- Parquet
- Partitioning
- Process Flow Diagrams
- Product Backlog
- Product Backlog Items
- Product Specifications
- Protocol Buffers
- Prototypes
- Pub/Sub
- QoS
- Quality Of Service
- Quality Standards
- RACI
- RBAC
- README.md
- REST
- RPC
- Raft
- Reactive Programming
- Regulation
- Regulatory
- Reporting Templates
- Runbooks
- SAFe Agile
- SAML
- SCADA
- SDLC
- SECURITY.md
- SFTP
- SMTP
- SOA
- SOAP
- SPA
- SQL
- SSH
- SSL/TLS
- SSO
- SUPPORT.md
- Scaled Agile
- Schema Design
- Schema Validation
- Scrum
- SecOps
- Secure Software Development Life Cycle
- Secure Software Development Lifecycle
- Secure-by-Design
- Security By Design
- Security Protocols
- Security Standards
- Security Standards And Procedures
- Service Oriented Architecture
- Six Sigma
- Software Design Architectural Patterns
- Software Design Patterns
- Software Development Life Cycle
- Software Development Lifecycle
- Specification
- Standard Operating Procedures
- Standardization
- Standards
- Swagger
- TCP/IP
- Table Format
- Technical Specifications
- Templates
- Test Cases
- Test First
- Test Plans
- Test Scripts
- Test Suites
- Test-driven Development
- UML
- Use Cases
- User Stories
- VPN
- WCAG
- Waterfall
- Web Standards
- WebSockets
- Wireframes
- Write Ahead Log
- XML
- XSLT
- Zero Trust
- Zero Trust Architecture
- Zero-Trust Security Model
- dependabot.yml
Why do we do this?
- Understand the state of the market.
- Meet new and diverse design partners.
- Help us prioritize business capabilities.
Who is this for?
- AI, API, integration and platform leadership.
- The C-Suite looking to navigate their enterprises.
- Analysts and media outlets reporting on technology.
Why become a design partner?
- Collaboration to define your business capabilities.
- Obtain more control over the integrations you have.
- Help shape the Naftiko roadmap to meet your needs.
About This Research
- Signals summarize how we rate overall investments made.
- Areas reveal the technology areas being invested in.
- Services show which services are part their SaaS portfolio.
- Tools highlight the open-source investments being made.
- Standards speak to how aligned integrations are with market.
About This Guidance
- Impact Report outlines the data behind their AI response.
- Impact Summary provides the narrative for their AI response.
- Radar looks at the maturity of the investments being made.
- Capabilities are how Naftiko can help strengthen capabilities.
- Navigation provides handful of areas to consider more investment.