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Continuous Architecture Governance Evolution

Summary

The CAS platform is evolving from a documentation and manual governance model into a Continuous Architecture Governance platform. This work captures the evolution of the Governance Portal, Pattern Governance Lifecycle, Workflow Execution Model, Governance Intelligence/Metrics, Compliance Engine, and the strategic vision for a Runtime-native Governance layer.

Details

Covers Governance Portal evolution (Sprints 1-3), Pattern Governance lifecycle institutionalization, Workflow Execution Model compliance, Governance Intelligence domain modeling, Traceable Metrics, Artifact Reference Resolver, Rules vs Policies decision, Governance Compliance & Exception framework, Observability fixes, Governance Action Framework design, and Strategic Vision for Continuous Governance Runtime.

Decision

Institutionalize a formal Governance Lifecycle (Proposal -> Promotion Recommendation -> Promotion Decision -> ADR -> Pattern). Adopt a unified Workflow Execution Model where CAS Runner orchestrates and workflows reason. Select independent workflows over a unified generator for Architecture Work. Establish Rules as the authoritative governance constraint source over separate policies. Introduce a Governance Action Framework for state changes.

Rationale

Manual execution caused intelligence staleness and architecture drift. A standardized execution model ensures consistency. Formalizing the lifecycle prevents governance state leakage into proposal artifacts. Rules provide a flexible, auditable compliance engine. The Action Framework addresses the gap in human approval automation.

Implementation Plan

  1. Complete Workflow Onboarding Program for conversation/discovery/vision-to-aw. 2. Implement Governance Action Engine and CLI/Portal interfaces. 3. Deploy Governance Compliance Engine with CI/CD integration. 4. Develop Traceable Metrics and Artifact Reference Resolver. 5. Evolve Portal to Architecture Intelligence Portal. 6. Future: Implement Continuous Pattern Intelligence and Portfolio Intelligence.

Alternatives Considered

['Option A (Independent workflows) vs Option B (Unified Architecture Work Generator) -> Selected A for lower risk and validation of execution model.', 'Separate Policy Hierarchy vs Existing Rule Framework -> Selected Rules as authoritative source.', 'Markdown-only artifacts vs Structured JSON/YAML -> Adopted structured schemas for machine consumption.']

Risks

['Intelligence freshness remains dependent on workflow execution frequency.', 'Data fragmentation across conversations, ADRs, AEMs, and external tools (Jira, GitHub Projects).', 'Manual approval bottlenecks in current governance actions.', 'Potential over-engineering of the Knowledge Graph layer.']

Expected Outcomes

Reduced architecture drift through continuous governance. Machine-consumable governance artifacts. Runtime-native workflow execution. Improved portal navigation and drill-down capabilities. Clear separation of governance state and actions. Foundation for automated pattern discovery and portfolio intelligence.

Dependencies

CAS Runner orchestration, Knowledge Provider abstraction, ReasoningExecutionContract, GitHub Actions automation, MkDocs/GitHub Pages portal infrastructure.

Finalize and onboard remaining prompt-native workflows to the CAS Runner. Implement the Governance Action Framework to automate approval/rejection flows. Begin prototyping the Architecture Knowledge Graph for cross-project intelligence.