AI-Augmented Enterprise
Architecture

About this book

Cloud platforms, APIs, AI systems, autonomous agents, and continuous delivery have turned architecture from a periodic planning activity into a continuous operational discipline. The cost of ambiguity has increased while the time available for interpretation has decreased. Architecture must become explicit, machine-usable, and capable of participating directly in execution.

AI-Augmented Enterprise Architecture introduces a specification-driven approach that connects enterprise intent to operational outcomes through governed semantic assets. Rather than treating architecture as a collection of static documents, the book presents the Enterprise Architecture Codex, a structured system for managing intent, capabilities, policies, constraints, decisions, specifications, controls, evidence, and feedback as typed and reusable assets.

Drawing on enterprise architecture practice, software product lines, architecture governance, policy-as-code, data management, and AI-assisted delivery, the book describes how organizations can evolve toward continuous and executable architecture while preserving control, traceability, and sovereignty.

Through the ACME Pharma case study, readers follow the complete journey from strategic intent to executable specifications, automated controls, and operational feedback, demonstrating how architecture can become an active component of enterprise execution rather than a passive description of it.