# Enterprise Architecture Platform
> Canonical enterprise transformation architecture and AI governance operating system.
> Sourced from https://enterprise-architecture-platform.internal · License: MIT

## Core Philosophy
The Enterprise Architecture Platform bridges executive business strategy (capabilities, value streams, strategic objectives) with technical reality (applications, microservices, APIs, cloud infrastructure, AI models, agents, MCP servers) and real-time operational economics (TCO, token telemetry).

## Key Architectural Chambers
1. **Interactive Exploding Canvas (`/canvas`)**:
   Hardware-accelerated React Flow canvas allowing recursive drill-down:
   Macro Domain -> Business Capabilities -> Workflows -> Software Tools -> AI Agents -> Costs.

2. **Capability Heatmap (`/capabilities`)**:
   Level 1-3 Business Capability model tracking maturity, health, spend, and duplication flags.

3. **Software Catalog (`/catalog`)**:
   Living system catalog inspired by Backstage's entity envelope, tracking application ownership, lifecycle status, and bi-directional dependency graphs.

4. **Application Rationalization & TCO (`/rationalization`)**:
   Redundancy engine that detects duplicate SaaS tools fulfilling the same capability (e.g., HubSpot vs. Salesforce vs. Zendesk) and sandboxes transformation scenarios.

5. **AI Asset Governance & Sentinel (`/ai-governance`)**:
   Model registry with token pricing, agent autonomy scoring, and automated sentinel detection for the "Lethal Trifecta" (Private Data Access + Untrusted Content + External Comms).

6. **Architecture Decisions & Review Board (`/governance`)**:
   Governed Architecture Decision Records (ADRs) with impact diffing and ARB review pipeline stages.

## Machine Discovery & MCP
- Complete Machine Ontology: /llms-full.txt
- Design Tokens (W3C format): /tokens.json
- Model Context Protocol: /functions/mcp.ts