Enterprise Architecture was built for a world where change moved at the speed of documents, reviews, and committees.

That world is gone.

Cloud platforms, APIs, AI agents, and continuous delivery have made architecture an operational discipline. Ambiguity costs more than ever, and there is no time left to interpret it. Architecture must become explicit, machine-usable, and able to act in execution itself.

AI-Augmented Enterprise Architecture shows how. It introduces the Enterprise Architecture Codex: not another stack of documents, but a governed system of typed, reusable assets (intent, capabilities, policies, decisions, specifications, controls, evidence, feedback) that connects strategy directly to operational outcomes.

Built on software product lines, policy-as-code, data management, and AI-assisted delivery, the book charts a realistic path to continuous, executable architecture without giving up control, traceability, or sovereignty.

Then it proves the method. Through the ACME Pharma case, you follow one enterprise from strategic intent to executable specifications, automated controls, and live operational feedback. Architecture stops describing the enterprise and starts running with it.

For enterprise, chief, solution, and platform architects, and for engineering and transformation leaders who need a framework for architecture in the age of AI.