AI‑enabled business capabilities represent the next evolution of enterprise architecture — shifting from deterministic, application‑centric design toward adaptive, intelligence‑driven capability systems. This page provides the strategic and methodological foundation for designing, governing, and scaling AI‑enabled capabilities across the enterprise.
This page includes:
A comprehensive framework for designing, governing, and scaling AI‑enabled business capabilities. This white paper introduces a three‑tier capability model, a capability realization method, a governance and maturity model, and a TOGAF‑aligned implementation roadmap.
This white paper covers:
The foundational capability structure — Business, Business‑Enabling, and Technical — that organizes how intelligence is embedded across the enterprise.
A four‑component realization model (roles, processes, information, technology) that defines how AI‑enabled capabilities sense, decide, act, and learn.
A governance system integrating TOGAF, COBIT, Responsible AI, and the EU AI Act — supported by a five‑level maturity model and continuous assurance mechanisms.
A complete mapping of the AI capability system into each ADM phase, including artifacts, governance checkpoints, and architecture repository integration.
This page is the methodological and capability‑centric entry point for AI‑enabled enterprise design. Use it to understand the capability system, explore governance and maturity models, access the flagship white paper, and navigate to the strategic AI–EA hub and technical blueprints.
This section includes earlier DEAA content on AI‑enabled capabilities, capability modeling, and enterprise architecture practices that informed the development of the current framework.
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