As enterprises transition from traditional automation to agentic AI ecosystems, the relationship between Enterprise Architecture (EA) and Business Analysis (BA) becomes structurally decisive. Agentic AI introduces autonomous decision‑making, multi‑step reasoning, and cross‑domain orchestration — capabilities that require strong architectural governance and precise semantic grounding.
This white paper establishes the correct hierarchical relationship between EA and BA, clarifies their collaboration across the TOGAF ADM, and explains why this structure is essential for scaling agentic AI responsibly, coherently, and strategically.
Inside, you’ll find:
- EA as the strategic command discipline — defining architecture, governance, and AI boundaries
- BA as the operational elaboration discipline — providing rules, semantics, and process detail
- A revised EA‑led TOGAF ADM collaboration model — with clear handoffs and responsibilities
- The AI‑Enabled Enterprise Integration Layer — the connective tissue between EA, BA, and AI
- A technical reference architecture — for implementing the integration layer in practice
© 2026 Digital Enterprise Architecture Advisors (DEAA)
What’s Inside
1. Enterprise Architecture as Strategic Leadership
Why EA becomes the command discipline in the Age of Agentic AI — defining target state, governance, capability models, and AI autonomy boundaries.
2. The BA Role in an AI‑Enabled Enterprise
How BA provides the semantic detail — requirements, rules, decision logic, and process models — that AI agents depend on for safe autonomy.
3. Collaboration Across the TOGAF ADM
A phase‑by‑phase mapping of EA leadership and BA contribution, including revised handoffs for AI‑driven environments.
4. The AI‑Enabled Enterprise Integration Layer
A conceptual model describing how governance, semantics, and orchestration connect EA, BA, and AI systems into a coherent enterprise architecture.
5. Technical Implementation Model
A reference architecture covering semantic layers, integration fabric, AI governance control planes, agent orchestration, telemetry, and continuous learning.
6. Recommendations for Enterprise Leaders
Practical guidance for structuring EA‑led AI transformation, embedding BA within EA governance, and ensuring capability‑driven AI adoption.
Related Enterprise Architecture Resources
AI in Enterprise Architecture
Strategic guidance on how AI transforms enterprise architecture — including principles, governance models, operating‑model impacts, and hybrid‑cloud AI patterns.
AI‑Enabled Business Capabilities Framework
A comprehensive capability‑driven model for designing, governing, and scaling AI‑enabled business capabilities across the enterprise.
Agentic AI Architecture Blueprint
A reference architecture for designing and governing agentic AI systems — including autonomy levels, orchestration patterns, and governance controls.