Reference framework v1.5 · November 2026

AI Body
of Knowledge

The reference framework that settles who decides what when AI is part of the decision, from knowledge area and role down to the AI agent.

Pdf, in English and Dutch. Also as a team or organisation licence.

Cover of the AI Body of Knowledge, version 1.4, English edition
Applied
In 3 pilot organisations
Aligned with
  • EU AI Act
  • ISO/IEC 42001
  • NIST AI RMF
  • TOGAF
  • DAMA-DMBOK
What is inside

Governance, architecture and organisation of AI in one coherent framework

Each knowledge area has activities, roles, metrics and references to the standards. Every knowledge area also has a figure of its own and every role a role card.

13
Knowledge areas

From AI Governance (KA1) to AI Literacy (KA13).

22
Roles

With a RACI matrix and one accountable role per knowledge area.

27
Failure modes

Patterns where agentic and cyber-physical AI fails, with drill scenarios.

4
Architecture planes

Data, control, management and the cognition plane for AI agents.

The thirteen knowledge areas

Every knowledge area with a figure of its own

For each knowledge area the book shows in one figure who decides, how the chain runs or where the risk sits. The colours follow the four groups in the book.

Central steering
KA1
AI Governance
FigureDecision rights in AI governance

AI Governance is the central hub: the other twelve knowledge areas work within the mandate that KA1 sets.

Strategy & direction
KA2
AI Strategy & Portfolio Management
FigureFrom AI opportunity to portfolio decision
KA3
AI Architecture
FigureAI system architecture in layers
KA4
AI Lifecycle Management
FigureGates and evidence per lifecycle phase
Delivery & operation
KA5
Data & Semantics for AI
FigureData controls from source to AI output
KA6
Model Management
FigureWhat evaluation evidence does and does not show
KA7
AI Interaction & UX
FigureAutonomy and human oversight
KA8
AI Operations
FigureOperational control loop
Assurance & accountability
KA9
AI Risk Management & Safety
FigureBow-tie for failure mode FM24
KA10
AI Compliance & Audit
FigureApplication timeline and evidence chain
KA11
AI Ethics & Responsible AI
FigureFrom ethical principle to evidence
KA12
AI Knowledge & Context Management
FigureThe knowledge chain: trust and attack points
KA13
AI Literacy & Capability Development
FigureLiteracy per target group and the evidence for Article 4

A role card for each of the 22 roles

Every role comes with a card showing its level, reporting line, the RACI letters across the thirteen knowledge areas, to whom the role is accountable and what it owns. As an example, the card of the AI Agent Governor.

Role card Role 18: AI Agent Governor
Editions

Choose your edition

Every edition contains the same complete content. You pay once and download the book as a pdf.

One reader

Personal edition

The book as a pdf, in English or Dutch.

€ 49.95
incl. 9% VAT
  • 13 knowledge areas, 22 roles and 27 failure modes
  • 12 templates, plus the Toolkit through your download link
  • Choose the English or the Dutch edition
Whole organisation

Enterprise edition

A one-time purchase for all employees, as the shared reference for your AI governance programme.

€ 1,495
incl. 21% VAT
  • Unlimited users within your organisation
  • English and Dutch edition
  • Free updates during the first year
  • Invoice on company name with VAT specification

Working in the Netherlands? The AI-Act Bewijsdossier is a Dutch workbook for the evidence file, also available as a bundle with the Dutch edition. About the Bewijsdossier (Dutch)

More than five readers or a licence for a partnership? Mail info@ai-bok.nl.

Look inside

Read first

The sample contains the cover, the table of contents, the executive summary, where to start and the complete knowledge area KA1 AI Governance. Twenty-four pages, no e-mail address needed.

Free Toolkit

Six working files alongside the book: modelling conventions, a risk-control library, a calibration kit, procurement clauses, filled example templates and a RACI presentation, plus the framework as open data. The link is sent by mail.

You receive the download link by mail and then two short mails on putting the working files to use. Nothing after that; unsubscribe in any mail. Privacy.

All figures and the excerpt

About the author Jan Willem van Veen

Jan Willem van Veen

Principal Enterprise Architect · ArchiXL

Over 25 years of experience at the intersection of technology, organization and meaning. From the first enterprise architectures in the public sector to the current generation of AI systems. Background in semantic web technology, knowledge graphs and linked data. The scientific paper on the AI-BOK was peer-reviewed and accepted at the EA4AI workshop of CBI & EDOC 2026, to appear in the Springer LNBIP proceedings.

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Frequently asked questions

Who is the AI Body of Knowledge written for?

For anyone who has to set up AI governance or account for it: CIO and board, enterprise architects, AI governance officers, CDOs and privacy officers, HR and project leads. The book has eleven role-based reading paths so you read what counts for your role.

How does it differ from ISO 42001 and NIST AI RMF?

ISO 42001 describes a management system, NIST AI RMF describes risk functions. Neither says which knowledge areas an organisation must master or which roles do the work. The AI-BOK adds that layer and refers back to the standards per knowledge area.

How the AI-BOK relates to the standards:

FrameworkWhat it givesWhat it does not giveWhat the AI-BOK adds
ISO/IEC 42001A certifiable management system for AINo knowledge areas, no role model13 knowledge areas and 22 roles that assign the management system requirements
NIST AI RMFFour risk functions: govern, map, measure, manageNo organisational designRoles, RACI and 27 failure modes per function, with drill scenarios
EU AI ActObligations per role and risk classNo implementation guideMapping of provider and deployer onto the role model, a checklist and Article 4 evidence, including the Digital Omnibus and the harmonised standard EN 18286
DAMA-DMBOK and TOGAFThe data and architecture disciplinesThe AI-specific knowledgeThe AI layer on top: a gap analysis per knowledge area and an ArchiMate reference architecture with four planes
IAPP AIGPCertification of the professional in four knowledge domainsThe organisational sideThe operating model that assigns that knowledge inside the organisation: who, what, when
Does the book cover the EU AI Act, including the Digital Omnibus?

Yes. Since version 1.3 the book incorporates Regulation (EU) 2026/1744: Annex III moved to 2 December 2027, Article 4 as a best-effort obligation, the new prohibitions from 2 December 2026. Version 1.4 (October 2026) adds the harmonised standard EN 18286 and the latest Omnibus updates. The role model is mapped onto provider and deployer.

What is the cognition plane?

A fourth architecture plane next to data, control and management: the place where AI agents reason and decide under an explicit mandate. Mandates, reasoning boundaries, delegation and escalation become objects you can model, assign and audit. It is the core of the peer-reviewed paper at EA4AI (CBI and EDOC 2026, Springer LNBIP).

Are the Toolkit and the ArchiMate model free?

Yes. The Toolkit (modelling conventions, risk-control library, calibration kit, procurement clauses, filled templates) is sent by mail. The ArchiMate model is freely available on the architecture page. The book is the reasoning behind them.

Is the English edition the same book?

Yes. Both editions have the same content and the same 18 diagrams; the English edition is longer because of typesetting. Dutch public-sector crosswalks (VNG, BZK, GEMMA) appear in both as worked examples of mapping a national framework.

Team or whole organisation: which licence?

A single copy is for one reader. The team licence covers five readers in both editions. The enterprise edition covers all employees and fits a governance programme in which the AI-BOK is the shared reference.