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 is a Naftiko Signals read of EY’s technology and AI investment posture — mined from public workforce signals (job postings, press releases, newsroom content) and matched against Naftiko’s curated vocabulary of services, tools, concepts, and standards across the 44 Naftiko signal groups.

For EY we detected 1688 areas, 229 services, 136 tools, and 150 standards — producing a total signal score of 2587.

How to read this page: Impact Report is the narrative read-out. Capabilities are Naftiko agent workflows you could ship on top of EY’s existing stack — each one runnable in the Naftiko Framework. Navigation ranks the next moves we’d recommend, grouped by theme. Signals is the score breakdown across every Naftiko signal group, each row linking to its definition. Areas, Services, Tools, and Standards are the raw detections behind the score. Why? explains the methodology and audience.

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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 2587 across 41 dimensions. The six strongest signal categories are services (229), data (197), cloud (140), ai (132), security (121), talentOrganizationalDesign (112).


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 / General and Professional Services / Accounting & Audit operations.

Waves: Large Language Models (LLMs), Generative Pre-trained Transformer (GPT), Open-Source LLMs

Artificial Intelligence — Score: 132 #1/18

EY’s AI score of 132 reflects adoption across Anthropic, Azure Machine Learning, Bloomberg AIM.

  • Services: Anthropic, Azure Machine Learning, Bloomberg AIM, ChatGPT, Claude, Databricks, Gemini, GitHub Copilot
  • Tools: Hugging Face Transformers, Kubeflow, Llama, Matplotlib, NumPy, Pandas, PyTorch, Semantic Kernel
  • Concepts: AI Agents, Agent Development, Agent Frameworks, Agentic AI, Agentic Frameworks, Agentic Systems, Agentics, Agents
  • Standards: MLOps

AI posture sets the ceiling on downstream AI workloads at EY.

Cloud — Score: 140 #1/18

Cloud score of 140 spans AWS Lambda, Amazon ECS, Amazon Kinesis alongside IaC tooling (Buildpacks, Docker, Kubernetes).

  • Services: AWS Lambda, Amazon ECS, Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon SageMaker, Amazon Web Services, Azure API Management
  • Tools: Buildpacks, Docker, Kubernetes, Terraform
  • Concepts: Cloud Adoptions, Cloud Application Development, Cloud Architectures, Cloud Computing, Cloud Computing Platforms, Cloud Connectivity, Cloud Data, Cloud Data Platforms
  • Standards: SDLC

Cloud maturity is the anchor for scaling AI workloads at EY.

Open-Source — Score: 41 #1/18

Open-Source score of 41 anchored on GitHub, GitHub Copilot, GitLab.

  • Services: GitHub, GitHub Copilot, GitLab, Red Hat
  • Tools: Angular, Apache, Apache AGE, Apache Airflow, Apache Ant, Apache Atlas, Apache Avro, Apache Bloodhound
  • Concepts: Contributions, Open Source
  • Standards: CODE_OF_CONDUCT.md, CONTRIBUTING.md, CONTRIBUTORS.md, LICENSE.md, SECURITY.md

Consumption is broad; formal contribution posture is an opportunity area.

Languages — Score: 58 #1/18

Languages score of 58 across ABAP, COBOL, CSS, Go, Haskell.

  • Languages: ABAP, COBOL, CSS, Go, Haskell, Java, JavaScript, Julia

Language mix is a revealing signal of EY’s engineering history and modernization priorities.

Code — Score: 88 #1/18

Code score of 88 anchored on Azure DevOps, GitHub, GitHub Actions.

  • Services: Azure DevOps, GitHub, GitHub Actions, GitHub Copilot, GitLab, IntelliJ IDEA
  • Tools: Git, PowerShell, SonarQube, Vite
  • Concepts: Application Programming Interfaces, Code Analysis, Code Management, Code Quality, Code Repositories, Code Reviews, Code Versioning Tools, Codes
  • Standards: DevOps, SDLC, Secure Software Development Lifecycle

Developer tooling is the lever for compound productivity via AI coding assistants.

Layer Summary: EY’s Foundational Layer reflects AI (132), Cloud (140), Open-Source (41), Languages (58), and Code (88) — 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: 197 #1/18

Data score of 197 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, Elasticsearch
  • Concepts: Business Analytics, Client Analytics, Cloud Data Warehouses, Data Analysis, Data Analysis Tools, Data Analytics, Data Analytics Platforms, Data Analytics Tools
  • Standards: Data Modeling, Data Models

Analytical depth is the foundation for retrieval-augmented AI.

Databases — Score: 38 #1/18

Databases score of 38 spans Oracle, Oracle Cloud, SAP HANA.

  • Services: Oracle, Oracle Cloud, SAP HANA, Snowflake, Teradata
  • Tools: Elasticsearch, MongoDB, MySQL, PostgreSQL, Redis
  • Concepts: Database Administration, Database Design, Database Integrations, Database Management, Database Performance Tuning, Database Queries, Database Securities, Database Systems
  • Standards: SQL

Portfolio rationalization is an ongoing lever.

Virtualization — Score: 28 #2/18

Virtualization score of 28 on EMC, Solaris Zones, VMware.

  • Services: EMC, Solaris Zones, VMware
  • Tools: Docker, Kubernetes
  • Concepts: Container Images, Container Orchestration, Container Registries, Container Securities, Container Services, Containerization

Containerization paired with VMs is a pragmatic stance.

Specifications — Score: 19 #1/18

Specifications score of 19 rooted in REST/HTTP/JSON.

  • Concepts: API Design, API Development, API Documentations, API Gateways, API Integrations, API Management, API Securities, API Testing
  • Standards: GraphQL, HTTP, JSON, OpenAPI, Protocol Buffers, REST, TCP/IP, XML

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 (197), Databases (38), and Specifications (19).


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: 38 #1/18

Data Pipelines score of 38 reflects Apache Airflow, Apache Kafka, Apache NiFi.

  • Services: Azure Data Factory, Informatica
  • Tools: Apache Airflow, Apache Kafka, Apache NiFi, Apache Spark
  • Concepts: API Integrations, Application Integrations, Cloud Integrations, Continuous Integration/Continuous Deployments, Data Integrations, Data Pipelines, Database Integrations, Enterprise Integrations

Streaming pipelines prerequisite for real-time AI inference.

Model Registry & Versioning — Score: 37 #1/18

Model Registry score of 37 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: 23 #1/18

Multimodal score of 23 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, Multimodal AI, Multimodals

Centralized OCR/audio/image extractors improve AI project productivity.

Domain Specialization — Score: 17

Domain Specialization score of 17.

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: 89 #1/18

Automation score of 89 reflects GitHub Actions, Make, Microsoft Power Apps.

  • Services: GitHub Actions, Make, Microsoft Power Apps, Microsoft Power Automate, Red Hat Ansible Automation Platform, ServiceNow
  • Tools: Apache Airflow, PowerShell
  • Concepts: Automation, Automation Platforms, Automation Testing, Data Science Workflows, Industrial Automation, Marketing Automation, Process Automation, QA Automation

Automation footprint is ready for AI augmentation on high-toil processes.

Containers — Score: 38 #1/18

Containers score of 38 on Buildpacks, Docker, Helm.

  • Tools: Buildpacks, Docker, Helm, Kubernetes, Podman
  • Concepts: Container Images, Container Orchestration, Container Registries, Container Securities, Container Services, Containerization, Containerization Technologies, Containerized Applications

Container-native AI deployment is the logical next step.

Platform — Score: 41 #2/18

Platform score of 41 spans AWS Lambda, Amazon ECS, Amazon Kinesis.

  • Services: AWS Lambda, Amazon ECS, Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon SageMaker, Amazon Web Services, Azure API Management
  • 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: 92 #1/18

Operations score of 92 anchored on Azure Log Analytics, Dynatrace, ServiceNow.

  • Services: Azure Log Analytics, Dynatrace, ServiceNow, Splunk
  • Tools: Chef, Prometheus, Puppet, Terraform
  • Concepts: Business Operations, Data Center Operations, Data Operations, Development Operations, Financial Operations, IT Operations, Incident Management, Incident Management Tools

Operational tooling is a foundation for AI-driven SRE.

Layer Summary: Automation (89) and Operations (92) 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: 32 #1/18

SaaS score of 32 includes Box, HubSpot, LinkedIn, Microsoft Copilot, Microsoft Teams.

  • Services: Box, HubSpot, LinkedIn, Microsoft Copilot, Microsoft Teams, Salesforce, Workday

Rationalization and unified auth are the optimization opportunities.

Code — Score: 88 #1/18

Code anchored on Azure DevOps, GitHub, GitHub Actions.

  • Services: Azure DevOps, GitHub, GitHub Actions, GitHub Copilot, GitLab, IntelliJ IDEA
  • Tools: Git, PowerShell, SonarQube, Vite
  • Concepts: Application Programming Interfaces, Code Analysis, Code Management, Code Quality, Code Repositories, Code Reviews, Code Versioning Tools, Codes
  • Standards: DevOps, SDLC, Secure Software Development Lifecycle

Wiring coding assistants creates compound productivity gains.

Services — Score: 229 #1/18

Services score of 229 spans EY’s full service portfolio.

  • Services: ADP, AWS Lambda, Adobe, Adobe Acrobat, Adobe Campaign, Adobe Captivate, Adobe Creative Suite, Adobe Illustrator

Scale of services drives the integration-layer imperative.

Layer Summary: Services score of 229 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: 44 #1/18

API score of 44; concepts: API Design, API Development, API Documentations.

  • Services: Apigee, Azure API Management, Kong, MuleSoft
  • Concepts: API Design, API Development, API Documentations, API Gateways, API Integrations, API Management, API Securities, API Testing
  • Standards: HTTP, JSON, OpenAPI, REST

Formalizing API standards is the most impactful integration move.

Integrations — Score: 57 #1/18

Integrations score of 57 spans Boomi, Informatica, MuleSoft.

  • Services: Boomi, Informatica, MuleSoft, Oracle Integration
  • Concepts: API Integrations, Application Integrations, Cloud Integrations, Continuous Integration/Continuous Deployments, Data Integrations, Database Integrations, Enterprise Integrations, Integration Frameworks
  • Standards: Enterprise Integration Patterns, SOA

iPaaS reduces integration debt.

Event-Driven — Score: 20 #2/18

Event-Driven score of 20.

  • Tools: Apache Kafka, Apache NiFi, RabbitMQ
  • Concepts: Data Loss Preventions, Event Management, Event Plannings, Event Technologies, Events, Fraud Preventions, Intrusion Prevention Systems, Intrusion Preventions
  • Standards: Event-driven Architecture, Pub/Sub

Event streaming is foundational for real-time AI.

Patterns — Score: 35 #1/18

Patterns score of 35 on Spring Boot, Spring Cloud Stream, Spring Framework.

  • Tools: Spring Boot, Spring Cloud Stream, Spring Framework
  • Concepts: Microservices, Pattern Recognitions, Patterns
  • Standards: Actor Model, Dependency Injection, Event-driven Architecture, SOA

Microservice patterns support AI workload scaling.

Specifications — Score: 19 #1/18

Specifications score of 19.

  • Concepts: API Design, API Development, API Documentations, API Gateways, API Integrations, API Management, API Securities, API Testing
  • Standards: GraphQL, HTTP, JSON, OpenAPI, Protocol Buffers, REST, TCP/IP, XML

Elevating OpenAPI to enterprise standard creates shared vocabulary for AI.

Apache — Score: 42 #1/18

Apache score of 42: Apache AGE, Apache Airflow, Apache Ant, Apache Atlas, Apache Avro.

  • Tools: Apache AGE, Apache Airflow, Apache Ant, Apache Atlas, Apache Avro, Apache Bloodhound, Apache Cassandra, Apache Flex

Apache ecosystem depth is a characteristic enterprise strength.

CNCF — Score: 31 #1/18

CNCF score of 31: Argo, Buildpacks, Dex.

  • Tools: Argo, Buildpacks, Dex, Envoy, Flux, Harbor, Jaeger, Kubernetes

CNCF maturity pairs with Kubernetes adoption.

Layer Summary: API (44) and Integrations (57) are the connective tissue for scaling AI.


Layer 7: Statefulness

Evaluating EY’s Observability, Governance, Security, Data handling.

Waves: Memory Systems

Observability — Score: 44 #2/18

Observability score of 44 spans Azure Log Analytics, CloudWatch, Dynatrace.

  • Services: Azure Log Analytics, CloudWatch, Dynatrace, Splunk
  • Tools: Elasticsearch, Jaeger, OpenTelemetry, Prometheus
  • Concepts: Alerting, Compliance Monitoring, Continuous Monitoring, Data Monitoring, Infrastructure Monitoring, Logging, Model Monitoring, Monitoring

Consolidation lowers cost.

Governance — Score: 107 #1/18

Governance score of 107; standards: CCPA, GDPR, ISO.

  • Concepts: AI Governance, Architecture Governance, Audit Management, Audit Processes, Audit Reports, Audit Techniques, Audit Trails, Audits
  • Standards: CCPA, GDPR, ISO, ITIL, ITSM, NIST, RACI, Six Sigma

Extending to AI governance is the natural evolution.

Security — Score: 121 #1/18

Security score of 121 anchored on Fortinet, McAfee, Palo Alto Networks.

  • Services: Fortinet, McAfee, Palo Alto Networks, Prisma
  • Concepts: Authentications, Authorizations, Cloud Security Posture Management, Cyber Security Assessments, Cybersecurity Frameworks, Dynamic Application Security Testing, Encryptions, Multi-Factor Authentications
  • 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: 197 #1/18

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, Elasticsearch
  • Concepts: Business Analytics, Client Analytics, Cloud Data Warehouses, Data Analysis, Data Analysis Tools, Data Analytics, Data Analytics Platforms, Data Analytics Tools
  • Standards: Data Modeling, Data Models

Continued cataloging and lineage pays off at AI scale.

Layer Summary: Observability (44), Governance (107), Security (121) reflect EY’s operational maturity.


Layer 8: Measurement & Accountability

Evaluating EY’s measurement discipline — Testing, Observability, DevEx, ROI.

Waves: Evaluation & Benchmarking

Testing & Quality — Score: 63 #1/18

Testing score of 63 with JUnit, Playwright, Selenium.

  • Tools: JUnit, Playwright, Selenium, SonarQube
  • Concepts: A/B Testing, AI Testing, API Testing, Acceptance Testing, Automated Testing, Automation Testing, Dynamic Application Security Testing, Functional Testing
  • Standards: Acceptance Criteria, SDLC, Six Sigma, Test Cases, Test Plans, Test Scripts, Test Suites

AI-specific evals extend traditional testing.

Observability — Score: 44 #2/18

Observability — Azure Log Analytics, CloudWatch, Dynatrace.

  • Services: Azure Log Analytics, CloudWatch, Dynatrace, Splunk
  • Tools: Elasticsearch, Jaeger, OpenTelemetry, Prometheus
  • Concepts: Alerting, Compliance Monitoring, Continuous Monitoring, Data Monitoring, Infrastructure Monitoring, Logging, Model Monitoring, Monitoring

Instrumented for AI workload observation.

Developer Experience — Score: 39 #1/18

DevEx score of 39 on Azure DevOps, GitHub, GitHub Copilot.

  • Services: Azure DevOps, GitHub, GitHub Copilot, GitLab, IntelliJ IDEA
  • Tools: Docker, Git

DORA metrics and IDPs are next investments.

ROI & Business Metrics — Score: 88 #1/18

ROI score of 88 reflects Alteryx, Crystal Reports, Oracle Hyperion.

  • Services: Alteryx, Crystal Reports, Oracle Hyperion, Power BI, SAP, Tableau Desktop
  • Concepts: Androids, Business Analytics, Financial Accounting, Financial Analysis, Financial Crimes, Financial Data, Financial Engineering, Financial Infrastructure

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: 69 #1/18

Regulatory score of 69 with standards: CCPA, Cybersecurity Standards, GDPR.

  • Concepts: Compliance, Compliance Frameworks, Compliance Management, Compliance Monitoring, Compliance Policies, Compliance Services, Compliance Solutions, Compliance Technologies
  • 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: 67 #1/18

AI Review score of 67 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: 121 #1/18

Security — Fortinet, McAfee, Palo Alto Networks.

  • Services: Fortinet, McAfee, Palo Alto Networks, Prisma
  • Concepts: Authentications, Authorizations, Cloud Security Posture Management, Cyber Security Assessments, Cybersecurity Frameworks, Dynamic Application Security Testing, Encryptions, Multi-Factor Authentications
  • Standards: Cybersecurity Standards, IAM, ISO, NIST, PCI Compliance, SECURITY.md, SSL/TLS, SSO

AI threat model coverage extends existing security.

Governance — Score: 107 #1/18

Governance standards: CCPA, GDPR, ISO.

  • Concepts: AI Governance, Architecture Governance, Audit Management, Audit Processes, Audit Reports, Audit Techniques, Audit Trails, Audits
  • Standards: CCPA, GDPR, ISO, ITIL, ITSM, NIST, RACI, Six Sigma

AI governance as first-class discipline is the next step.

Privacy & Data Rights — Score: 23 #1/18

Privacy score of 23.

  • Concepts: Data Protection, Privacy, Privacy Impact Assessments
  • Standards: CCPA, GDPR, HIPAA

Formal ‘training-eligible?’ classification prevents inadvertent PII use in models.

Layer Summary: Security (121), Governance (107), AI Review (67) 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: 15 #2/18

AI FinOps score of 15 with AWS Lambda, Amazon Web Services, Azure API Management.

  • Services: AWS Lambda, Amazon Web Services, Azure API Management, Azure Active Directory, Azure Data Factory, Azure Databricks
  • Concepts: Budgetings, Cost Accounting, Cost Controls, Cost Management, Cost Optimizations, Financial Plannings

Token-cost tagging required before AI spend accelerates.

Provider Strategy — Score: 59 #1/18

Provider Strategy score of 59 with Amazon ECS, Amazon Kinesis, Amazon Redshift, Amazon S3.

  • Services: Amazon ECS, Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon SageMaker, Amazon Web Services, GCP Cloud Storage, Google Cloud Dataflow
  • Concepts: Cloud Service Providers, Identity Providers, Supplier Management, Vendor Management

Explicit provider strategy tightens AI partnership decisions.

Partnerships & Ecosystem — Score: 75 #1/18

Partnerships score of 75 with AWS Lambda, Amazon ECS, Amazon Kinesis, Amazon Redshift.

  • Services: AWS Lambda, Amazon ECS, Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon SageMaker, Amazon Web Services, Bloomberg
  • Concepts: Cloud Ecosystems, Ecosystems, Platform Ecosystems

AI-specific partnerships are emerging.

Talent & Organizational Design — Score: 112 #1/18

Talent score of 112 with ADP, LinkedIn, PeopleSoft.

  • Services: ADP, LinkedIn, PeopleSoft, Workday
  • Concepts: AI Trainings, Artificial Intelligence/Machine Learning, Continuous Learning, Deep Learning, E-learnings, Human Resources, Learning, Learning And Development

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 (112) and Partnerships (75) 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: 32 #1/18

Alignment score of 32; 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, Scrum

Aligning AI to business outcomes makes AI accountable.

Standardization — Score: 42 #1/18

Standardization score of 42: 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: 25 #2/18

M&A score of 25.

  • 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 (32) and Standardization (42) shape AI program direction.


Strategic Assessment

Top Three 2026 Investment Recommendations for EY

  1. Establish an API-First Integration Layer. API score of 44 across 229 services leaves EY without reusable connective tissue. Prioritize API standards, deploy an enterprise gateway, publish a service catalog.

  2. Stand Up a Formal AI Governance and Review Council. AI Review score of 67 combined with AI adoption (score 132) creates regulatory and reputational risk. Charter a council, publish review criteria, gate production AI.

  3. Invest in Real-Time Data Pipelines and Event Streams. Data Pipelines (38) and Event-Driven (20) 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.

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71 capabilities

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
Open in Framework → View in Fleet → access-review-campaign-generation.yml

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
Open in Framework → View in Fleet → accounts-payable-invoice-approval-routing.yml

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
Open in Framework → View in Fleet → adobe-campaign-launch-readiness-check.yml

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
Open in Framework → View in Fleet → apm-latency-spike-investigation.yml

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
Open in Framework → View in Fleet → azure-devops-work-item-auto-link.yml

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
Open in Framework → View in Fleet → budget-vs-actual-variance-explainer.yml

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
Open in Framework → View in Fleet → change-management-request-triage.yml

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
Open in Framework → View in Fleet → ci-cd-failure-observability-chain.yml

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
Open in Framework → View in Fleet → conduct-quarterly-technology-posture-review.yml

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
Open in Framework → View in Fleet → daily-general-ledger-close-check.yml

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
Open in Framework → View in Fleet → data-quality-slo-check.yml

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
Open in Framework → View in Fleet → datadog-alert-fatigue-audit.yml

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
Open in Framework → View in Fleet → email-phishing-training-campaign-dispatch.yml

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
Open in Framework → View in Fleet → employee-offboarding-revocation.yml

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
Open in Framework → View in Fleet → employee-onboarding-orchestration.yml

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
Open in Framework → View in Fleet → enterprise-glossary-term-suggestions.yml

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
Open in Framework → View in Fleet → executive-kpi-dashboard-nightly-build.yml

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
Open in Framework → View in Fleet → expense-report-auto-approval-under-threshold.yml

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
Open in Framework → View in Fleet → generate-weekly-executive-technology-digest.yml

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
Open in Framework → View in Fleet → github-copilot-license-utilization-report.yml

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
Open in Framework → View in Fleet → github-pr-auto-label-by-file-pattern.yml

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
Open in Framework → View in Fleet → gitlab-pipeline-failure-triage.yml

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
Open in Framework → View in Fleet → google-analytics-daily-anomaly-detection.yml

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
Open in Framework → View in Fleet → lead-routing-based-on-territory.yml

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
Open in Framework → View in Fleet → learning-path-assignment-based-on-role.yml

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
Open in Framework → View in Fleet → linkedin-company-page-engagement-digest.yml

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
Open in Framework → View in Fleet → microsoft-teams-channel-creation-for-project.yml

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
Open in Framework → View in Fleet → month-end-financial-close-orchestration.yml

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 in Framework → View in Fleet → new-relic-synthetic-monitoring-refresh.yml

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
Open in Framework → View in Fleet → open-requisition-funnel-report.yml

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
Open in Framework → View in Fleet → opportunity-pipeline-health-alert.yml

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
Open in Framework → View in Fleet → oracle-database-free-space-alert.yml

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
Open in Framework → View in Fleet → p1-incident-response-orchestration.yml

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
Open in Framework → View in Fleet → payroll-headcount-snapshot.yml

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
Open in Framework → View in Fleet → peoplesoft-hr-data-sync.yml

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
Open in Framework → View in Fleet → power-bi-dataset-refresh-failure-triage.yml

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
Open in Framework → View in Fleet → proactive-churn-outreach-from-model.yml

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
Open in Framework → View in Fleet → production-hotfix-change-ticket-automation.yml

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
Open in Framework → View in Fleet → risk-register-nightly-sync.yml

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
Open in Framework → View in Fleet → role-change-approval.yml

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
Open in Framework → View in Fleet → salesforce-case-escalation.yml

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
Open in Framework → View in Fleet → servicenow-sla-breach-prediction.yml

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
Open in Framework → View in Fleet → snowflake-warehouse-right-sizing.yml

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
Open in Framework → View in Fleet → software-asset-reclaim-from-idle-licenses.yml

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
Open in Framework → View in Fleet → splunk-dashboard-nightly-snapshot.yml

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
Open in Framework → View in Fleet → splunk-security-event-correlation.yml

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
Open in Framework → View in Fleet → stale-branch-cleanup.yml

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
Open in Framework → View in Fleet → tableau-data-source-refresh-orchestration.yml

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
Open in Framework → View in Fleet → tableau-workbook-usage-audit.yml

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
Open in Framework → View in Fleet → unified-customer-lookup-across-systems.yml

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
Open in Framework → View in Fleet → whats-next-api-developer.yml

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
Open in Framework → View in Fleet → whats-next-backend-developer.yml

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
Open in Framework → View in Fleet → whats-next-chief-information-officer.yml

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
Open in Framework → View in Fleet → whats-next-cloud-architect.yml

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
Open in Framework → View in Fleet → whats-next-cloud-engineer.yml

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
Open in Framework → View in Fleet → whats-next-cloud-security-engineer.yml

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
Open in Framework → View in Fleet → whats-next-data-engineer.yml

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
Open in Framework → View in Fleet → whats-next-director-of-cloud-engineering.yml

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
Open in Framework → View in Fleet → whats-next-director-of-engineering.yml

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
Open in Framework → View in Fleet → whats-next-director-of-platform-engineering.yml

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
Open in Framework → View in Fleet → whats-next-full-stack-developer.yml

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
Open in Framework → View in Fleet → whats-next-head-of-api.yml

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
Open in Framework → View in Fleet → whats-next-head-of-integration.yml

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
Open in Framework → View in Fleet → whats-next-head-of-platform-engineering.yml

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
Open in Framework → View in Fleet → whats-next-integration-architect.yml

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
Open in Framework → View in Fleet → whats-next-mlops-engineer.yml

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
Open in Framework → View in Fleet → whats-next-platform-engineer.yml

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
Open in Framework → View in Fleet → whats-next-prompt-engineer.yml

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
Open in Framework → View in Fleet → whats-next-solutions-architect.yml

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
Open in Framework → View in Fleet → whats-next-technical-lead.yml

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
Open in Framework → View in Fleet → whats-next-vp-of-engineering.yml

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  • Operating Systems
  • Operational Efficiencies
  • Operational Excellence
  • Operational Metrics
  • Operational Practices
  • Operational Reportings
  • Operational Resiliences
  • Operational Risk Management
  • Operational Risks
  • Operational Systems
  • Operational Technologies
  • 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
  • Pillar 3S
  • Pipeline Management
  • Pipeline Orchestration
  • Pipelines
  • Pivot Tables
  • Planning Analytics
  • Plannings
  • 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
  • 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
  • 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 Analytics
  • Real-time Data
  • 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 Filings
  • Regulatory Intelligence
  • Regulatory Reportings
  • Reinforcement Learning
  • 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
  • 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 Analysis
  • Security Architectures
  • Security Assessments
  • Security Audits
  • Security Automation
  • Security Best Practices
  • Security Compliances
  • Security Controls
  • Security Design
  • Security Engineering
  • Security Frameworks
  • Security Incident Responses
  • Security Information and Event Management
  • 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
  • Settlements
  • Shared Responsibilities
  • Shells
  • Shippings
  • Short Message Services
  • 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 Controls
  • Sourcings
  • 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 Securities
  • Supply Chains
  • Support Systems
  • Support Ticketing
  • Surveillances
  • Sustainability
  • Switches
  • System Administration
  • System Analysis
  • System Architectures
  • System Configurations
  • System Design
  • System Development
  • System Implementations
  • System Integrations
  • System Management
  • System Monitoring
  • System Of Records
  • System Optimizations
  • System Performances
  • System Requirements
  • System Securities
  • System Solutions
  • Systems
  • Systems Analysis
  • Systems Design
  • Systems Development
  • Systems Engineering
  • Systems Integrations
  • Systems Management
  • 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
  • Testing Frameworks
  • Testing Strategies
  • Testing Tools
  • 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
  • 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
  • Verifications
  • Version Control Systems
  • Version Controls
  • Versionings
  • Video Productions
  • Videos
  • Virtual Environments
  • Virtualizations
  • Visibility
  • Visual Design
  • Visualizations
  • Voice
  • 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
  • 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: 229

  • ADP
  • AWS Lambda
  • Adobe
  • Adobe Acrobat
  • Adobe Campaign
  • Adobe Captivate
  • Adobe Creative Suite
  • Adobe Illustrator
  • Adobe Launch
  • Adobe Photoshop
  • Adobe Premiere Pro
  • Alteryx
  • Amazon ECS
  • Amazon Kinesis
  • Amazon Redshift
  • Amazon S3
  • Amazon SageMaker
  • Amazon Web Services
  • Anthropic
  • Apache Airflow
  • Apigee
  • Appian
  • 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
  • Bloomberg
  • Bloomberg AIM
  • Bloomberg EMSX
  • Boomi
  • Box
  • Broadcom
  • BrowserStack
  • Burp Suite
  • Calypso
  • Camtasia
  • ChatGPT
  • Checkmarx
  • Cisco
  • Cisco Firepower
  • Cisco Nexus
  • Claude
  • CloudFormation
  • CloudWatch
  • Cobalt
  • Confluence
  • Cortex
  • Coupa
  • Crystal Reports
  • Cvent
  • Dagster
  • Databricks
  • Databricks Workflows
  • Dealogic
  • DocuSign
  • DynamoDB
  • Dynatrace
  • EMC
  • Fargate
  • Figma
  • Fortify
  • Fortinet
  • GCP Cloud Storage
  • Gemini
  • GitHub
  • GitHub Actions
  • GitHub Copilot
  • GitLab
  • Gong
  • Google
  • Google Analytics
  • Google Apps Script
  • Google Cloud Dataflow
  • Google Cloud Logging
  • Google Cloud Platform
  • Google Docs
  • Google Drive
  • Google Maps
  • Google Sheets
  • Google Tag Manager
  • Google Workspace
  • Harness
  • HubSpot
  • Hugging Face
  • Informatica
  • Informática
  • Instagram
  • IntelliJ IDEA
  • International Business Machines
  • Istio
  • Jira
  • Jupyter Notebook
  • Knit
  • Kong
  • LinkedIn
  • Linkerd
  • Looker
  • MATLAB
  • Make
  • McAfee
  • Meta
  • Metasploit
  • Microsoft
  • Microsoft .NET
  • Microsoft 365
  • Microsoft Azure
  • Microsoft Bicep
  • Microsoft Configuration Manager
  • Microsoft Copilot
  • Microsoft Defender
  • Microsoft Dynamics
  • Microsoft Dynamics 365
  • Microsoft Edge
  • Microsoft Entity Framework
  • Microsoft Entra
  • Microsoft Exchange
  • Microsoft Graph
  • Microsoft Intune
  • Microsoft Office
  • 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
  • Mistral
  • MuleSoft
  • Murex
  • Navision
  • Nessus
  • OpenAI
  • OpenAI APIs
  • OpenShift
  • Oracle
  • Oracle APEX
  • Oracle Cloud
  • Oracle E-Business Suite
  • Oracle Fusion
  • Oracle General Ledger
  • Oracle Hyperion
  • Oracle Integration
  • Oracle Planning
  • Oracle WebLogic
  • Palo Alto Networks
  • Paradox
  • PeopleSoft
  • Port
  • Postman
  • Power BI
  • Power Query
  • Prefect
  • Prisma
  • Prosci
  • Pulse
  • QRadar
  • Qlik
  • Qlik Sense
  • QlikView
  • 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 HANA
  • SAP Integration Suite
  • SAP S/4HANA
  • SAP Sales and Distribution (SD)
  • SQL Server
  • SailPoint
  • Salesforce
  • Salesforce Experience Cloud
  • Salesforce Lightning
  • Salesforce Marketing Cloud
  • Sentry System
  • ServiceNow
  • SharePoint
  • Shell
  • Snowflake
  • Solaris Zones
  • Sonatype Nexus
  • Sparx Enterprise Architect
  • Splunk
  • Splunk Enterprise Security
  • Spot
  • TIBCO
  • Tableau Desktop
  • Tagetik
  • Talend
  • Tanium
  • Temenos
  • Temenos Transact
  • Teradata
  • Triton
  • Unity
  • VMware
  • Veritas InfoScale
  • WebSphere
  • Workday
  • Yardi
  • n8n

Tools — Total: 136

  • Angular
  • Apache
  • Apache AGE
  • Apache Airflow
  • Apache Ant
  • Apache Atlas
  • Apache Avro
  • Apache Bloodhound
  • Apache Cassandra
  • Apache Flex
  • Apache Groovy
  • Apache Hadoop
  • Apache Helix
  • Apache Hive
  • Apache Iceberg
  • Apache Ignite
  • Apache JMeter
  • Apache James
  • Apache Kafka
  • Apache MINA
  • Apache Mahout
  • Apache Maven
  • Apache NiFi
  • Apache ORC
  • Apache Olingo
  • Apache OpenJPA
  • Apache Parquet
  • Apache Phoenix
  • Apache Pivot
  • Apache Spark
  • Apache Spatial
  • Apache Steve
  • Apache Storm
  • Apache Streams
  • Apache Subversion
  • Apache Tomcat
  • Apache Velocity
  • Apache Web Services
  • Argo
  • Buildpacks
  • C++
  • Chef
  • Cloud Custodian
  • Copa
  • Cucumber
  • Dex
  • Django
  • Docker
  • Docker Swarm
  • Eclipse
  • Elastic Stack
  • Elasticsearch
  • Elk Stack
  • Envoy
  • Ethereum
  • FastAPI
  • Fluid
  • Flux
  • Git
  • Grafana
  • Harbor
  • Hashicorp Vault
  • Helm
  • Hibernate
  • Hugging Face Transformers
  • JBoss
  • JUnit
  • Jaeger
  • Jenkins
  • Jest
  • Jupyter
  • KEDA
  • KServe
  • Kibana
  • Kotlin
  • Kubeflow
  • Kubernetes
  • Kubernetes Services
  • Kyverno
  • Lean
  • Lightning Web Components
  • Linux
  • Llama
  • Logstash
  • Matplotlib
  • Mockito
  • MongoDB
  • MySQL
  • NATS
  • NUnit
  • Nginx
  • Node.js
  • NumPy
  • Open Policy Agent
  • OpenSearch
  • OpenTelemetry
  • PHP
  • Packer
  • Pandas
  • Perl
  • Playwright
  • Podman
  • PostgreSQL
  • PowerShell
  • Prometheus
  • Pulumi
  • Puppet
  • PySpark
  • PyTorch
  • Python
  • R
  • RabbitMQ
  • Radius
  • React
  • React Native
  • Redis
  • Redux
  • SOPS
  • Scala
  • Score
  • Selenium
  • Semantic Kernel
  • SonarQube
  • Spring Boot
  • Spring Cloud Stream
  • Spring Data
  • Spring Framework
  • Spring Security
  • Swift
  • TensorFlow
  • Terraform
  • Ubuntu
  • Vite
  • YARN
  • gRPC
  • jQuery

Standards — Total: 150

  • AIS
  • API-First
  • Acceptance Criteria
  • Accessibility Standards
  • Accounting Standards
  • Actor Model
  • Agile
  • Agile Delivery
  • Agile Methodology
  • Agile SDLC
  • BLE
  • Banking Regulation
  • Basel III
  • CCPA
  • CODE_OF_CONDUCT.md
  • CONTRIBUTING.md
  • CONTRIBUTORS.md
  • CS
  • Capital Requirements
  • Certificate Enrolment Protocols
  • Component Model
  • Consensus
  • Cybersecurity Standards
  • DHCP
  • DNS
  • Data Format
  • Data Modeling
  • Data Models
  • Data Privacy Standards
  • Database Schema Design
  • Defense In Depth
  • Dependency Injection
  • Design Standards
  • DevOps
  • DevSecOps
  • Development Methodology
  • Dimensional Modeling
  • Disclosure Requirements
  • Enterprise Integration Patterns
  • Entity Relationship
  • Event-driven Architecture
  • FDA Regulations
  • FTP
  • FinOps
  • Financial Regulation
  • Flowcharts
  • Functional Programming
  • GDPR
  • Gherkin
  • GitOps
  • Good Manufacturing Practices
  • GraphQL
  • HIPAA
  • HTML
  • HTML5
  • HTTP
  • IAM
  • ISO
  • ISO Standard
  • IT Standards
  • ITIL
  • ITSM
  • Interface Specifications
  • Internal Control Standards
  • JDBC
  • JSON
  • Java EE
  • Kanban
  • LDAP
  • LICENSE.md
  • Lakehouse Architecture
  • Lean Six Sigma Black Belt
  • MLOps
  • MVC
  • Methodology
  • Mockups
  • NIST
  • Network Protocols
  • Normalization
  • OAuth
  • OWASP
  • Object-Oriented Programming
  • OpenAPI
  • OpenID Connect
  • PCI Compliance
  • PDF
  • Partitioning
  • Process Flow Diagrams
  • Product Backlog
  • Product Backlog Items
  • Product Specifications
  • Protocol Buffers
  • Prototypes
  • Pub/Sub
  • Quality Standards
  • RACI
  • RBAC
  • REST
  • Regulation
  • Regulatory
  • Reporting Templates
  • Runbooks
  • SAML
  • SCADA
  • SDLC
  • SECURITY.md
  • SFTP
  • SMTP
  • SOA
  • SOAP
  • SPA
  • SQL
  • SSH
  • SSL/TLS
  • SSO
  • Scaled Agile
  • Scrum
  • SecOps
  • Secure Software Development Lifecycle
  • Secure-by-Design
  • Security Protocols
  • Security Standards
  • Security Standards And Procedures
  • Six Sigma
  • Software Design Patterns
  • Specification
  • Standard Operating Procedures
  • Standardization
  • Standards
  • Swagger
  • TCP/IP
  • Table Format
  • Technical Specifications
  • Templates
  • Test Cases
  • Test Plans
  • Test Scripts
  • Test Suites
  • Test-driven Development
  • UML
  • Use Cases
  • User Stories
  • VPN
  • Waterfall
  • Web Standards
  • Wireframes
  • XML
  • XSLT
  • Zero Trust Architecture
  • 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.