AI-Augmented Enterprise
Architecture

Semantics, specification, and continuous execution. Fifteen chapters and a conclusion on the shift from documentation-driven enterprise architecture to a continuous semantic and operational system, with intent, capabilities, policies, decisions, specifications, controls, and feedback treated as governed objects.

Chapters
15
Parts
4
Conclusion
1
Schema
v1.1

Part I: Foundations

Establish why enterprise architecture must change, define continuous and intent-driven architecture, explain why AI and automation raise the cost of ambiguity, apply the method to SAP Activate and RISE, and close with the Codex as the bird's-eye view of the typed-object world.

01

The Limits of Traditional Enterprise Architecture

Enterprise architecture earned its place when change moved slowly enough for centralized interpretation to work. Strategy cycles were annual. Technology standards shifted at a pace that gave committees time to shape exec

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02

Continuous Enterprise Architecture

Enterprise architecture was designed to bring coherence to structural change across capabilities, operating models, information, applications, platforms, policies, investments, risks, and execution paths. That mission ha

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03

Intent-Driven Architecture

This chapter defines intent as the structured starting point for architecture: a decision-oriented bridge between enterprise direction and execution.

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04

Why AI and Automation Change the Stakes

The first three chapters of this book made a demanding set of claims. Chapter 1 argued that enterprise architecture must evolve from document-heavy review toward machine-checkable decisions, executable policies, and cont

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05

Automating RISE with SAP Through Specification-Driven Enterprise Architecture

The first four chapters of this book argued that enterprise architecture must become more explicit, more continuous, and more executable. This chapter proves the mechanism by applying it to one of the most demanding transfor

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06

The Enterprise Architecture Codex

Earlier chapters argued that enterprise architecture must shift from periodic documents to continuous, semantic, executable knowledge. This chapter defines the form that shift takes in practice.

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Part III: Method in Practice

Test the Codex-and-attractor method against the surfaces architects actually govern: AI agent contracts, data management for agentic consumption, TOGAF extension, sovereignty, and a real SAP API policy change absorbed as a typed propagation chain.

The metamodel of the method, navigable.

The Atlas is the live cartography of the typed Codex kinds developed across the fifteen-chapter book, with relationships and case study traversal.

Navigate the Atlas