Section 13
Artifacts & Deliverables
The minimum sufficient architecture evidence each layer should produce.
AI4EA produces architecture evidence and decision artifacts rather than documentation for its own sake.
| AI4EA Layer | Mandatory Core Artifact | Supporting Artifacts |
|---|---|---|
| 1. Strategy | AI Vision & Architecture Principles | Value Themes; Target Capability View |
| 2. Opportunity | AI Use Case Portfolio | UCPS; Risk Classification |
| 3. Readiness | AI Readiness Assessment | Heatmap; Gap Analysis; Capability Roadmap |
| 4A. Sourcing | AI Sourcing & Model Strategy Decision | Model Scorecard; TCO Assessment |
| 4B. Knowledge | AI Data & Knowledge Architecture | Retrieval Pattern; Knowledge Inventory |
| 4C. Integration | AI Integration & Orchestration Architecture | Agent Model; Tool Matrix; HITL Model |
| 4D. Governance | AI Governance, Security & Economics Architecture | Risk Matrix; Evals; FinOps Model |
| 5. Operating Model | AI Federated Operating Model | RACI; Hub/Spoke Responsibilities |
| 6. Execution | AI Adoption Roadmap | Phase-Gate Assessments |
| 7. Value | AI Value & KPI Scorecard | Benefits Tracking |
The artifact set establishes traceability from strategic intent through architecture decisions to measurable outcomes and creates reusable enterprise knowledge for subsequent AI initiatives.