1. Overview

AI is reshaping enterprise architecture from the ground up. This page provides strategic guidance on how AI transforms business capabilities, governance models, operating models, and target architectures. It serves as the conceptual and strategic hub for all AI–EA content within DEAA.

This page includes:

3. Strategic Guidance & Conceptual Frameworks

3.1 Integrating AI into Enterprise Architecture Practices

How AI augments and reshapes traditional EA disciplines, including capability modeling, roadmapping, and architecture governance.

3.2 AI‑Driven Target Architectures

How AI influences target‑state architectures across business, data, application, and technology domains.

3.3 AI‑Enabled Operating Models

How enterprise operating models evolve when AI agents become part of the execution layer.

3.4 Governance for AI‑Augmented Architecture

Principles and patterns for governing AI‑enabled architectures, including risk, compliance, and continuous assurance.

5. Intended Audience

6. How to Use This Page

This page is the strategic entry point for all AI–EA content. Use it to understand the strategic implications of AI for enterprise architecture, explore governance and operating‑model impacts, access the flagship white paper, and navigate to the technical blueprint and implementation playbook.

7. Additional Resources

This section includes earlier DEAA content on AI in Enterprise Architecture, including prior white papers, diagrams, and conceptual guidance that informed the development of the current strategic framework.

Previous White Paper: AI in Enterprise Architecture

An earlier DEAA white paper exploring how AI augments enterprise architecture practices, governance models, and capability design. This resource remains available for reference and historical context.

Download Previous White Paper