New - March 2026

AI Body of Knowledge

The reference framework for AI governance, lifecycle management and organizational design

12 knowledge areas · 19 roles · RACI model · Maturity model · Templates
Based on DAMA-DMBOK, TOGAF, ISO 42001, NIST AI RMF and EU AI Act

View editions
12

Knowledge Areas

From AI Governance to Knowledge & Context Management. Each area with activities, roles, metrics and standards.

19

Roles

Complete role model with RACI matrix, separation of duties and competency matrix for the CHRO.

8

Lifecycle Phases

From ideation to decommissioning, with feedback loops, gate criteria and sprint checklists.

5

Templates

Governance Charter, Model Card, EU AI Act Checklist, Maturity Assessment and Shadow AI Inventory.

Choose your edition

Both editions contain the same complete content with 16 diagrams

Nederlands

AI Body of Knowledge

191 pages

AI Body of Knowledge (NL)

Het referentiekader voor AI-governance, lifecycle management en organisatie-inrichting

€49.95 -€10
€39.95 incl. VAT (9% VAT) Introductory offer — save €10 for a limited time
Order now
English

AI Body of Knowledge

217 pages

AI Body of Knowledge (EN)

The reference framework for AI governance, lifecycle management and organizational design

€49.95 -€10
€39.95 incl. VAT (9% VAT) Introductory offer — save €10 for a limited time
Order now
Enterprise

Enterprise Edition

One-time purchase for your entire organisation. All employees gain access to the AI Body of Knowledge — ideal as the reference framework for your AI governance programme.

  • ✓Unlimited users within your organisation
  • ✓EN + NL edition included (205 + 177 pages)
  • ✓Free updates during the first year
  • ✓Invoice on company name with VAT specification
€1995.00
€1495 incl. VAT (21% VAT) Order Enterprise

Sneak peek inside the book

Two of 16 diagrams from the AI-BOK - free preview

AI-BOK Framework

The 12 knowledge areas with AI Governance as the central hub

AI Lifecycle

The AI Lifecycle Model with 8 phases and 3 feedback loops

RACI matrix with 19 roles

Who is responsible, accountable, consulted and informed per knowledge area? The complete RACI matrix eliminates ambiguity.

5 ready-to-use templates

Governance Charter, Model Card, EU AI Act Checklist, Maturity Assessment and Shadow AI Inventory. Ready to fill in.

CIO 30-day plan

Week by week concrete actions to get AI governance off the ground. From inventory to board decision in one month.

Podcast

Prefer listening?

Discover the essence of the AI-BOK in a podcast episode — available in Dutch and English.

🎙

Securing Enterprise AI with the AI-BOK

How do you govern AI at enterprise scale? From the 12 knowledge areas and the cognition plane to operationalising the EU AI Act.

AI-BOK Unplugged — The framework behind responsible AI

Free preview

Read a chapter from the book

The foreword and the Start Here guide — directly applicable, no purchase required.

Foreword

For over 25 years I have worked as an architect at the intersection of technology, organisation and meaning. From the first enterprise architectures in the public sector to the current generation of AI systems that autonomously reason, consult sources and support decisions — the common thread in my work has always been the same: how do you make complex technology governable, understandable and valuable for the organisation?

This book was born from the conviction that AI deserves its own Body of Knowledge — comparable to what DAMA-DMBOK has done for data management and TOGAF for enterprise architecture. Not because existing frameworks are unusable, but because they are incomplete for the AI context.

The AI-BOK is not an academic document. It is written for the CIO who needs to present an AI governance proposal to the board tomorrow. For the enterprise architect who must fit AI into an existing landscape. For the data officer who knows that without data quality there is no AI quality. And for the project manager deploying an AI system to production for the first time, wondering: where do I begin?

Jan Willem van Veen

Principal Enterprise Architect — March 2026

Start Here — Set up AI governance in 5 steps

This quick start helps you establish a working AI governance within a quarter. Each of the five steps builds on the previous one and is linked to a concrete template.

1

Week 1-2: Inventory

Map which AI tools are already in use — including unauthorised ones. Use the Shadow AI Inventory template.

2

Week 3-4: Classify

Categorise all AI systems by risk according to the EU AI Act: minimal, limited, high or unacceptable.

3

Month 2: Organise

Establish the governance structure with an AI Governance Charter: who decides what, which principles apply.

4

Month 3: Register

Document each AI system with a model card. Start with the high-risk systems.

5

Quarter 2: Measure

Conduct a baseline measurement of your AI maturity using the Maturity Assessment to identify improvement areas.

This is just the beginning — the full book contains 12 knowledge areas, 19 roles, 5 templates and 205 pages of practical guidelines.

View the full e-book

AI is transforming your organization - whether you are ready or not

Your employees are already using ChatGPT, Copilot, Claude, Cursor and Gemini - often without IT knowing. The EU AI Act is in effect. Customers expect transparency about AI decisions. Every month without AI governance is a month without control over your biggest technology transformation.

Take the free Quick Scan

Why an AI Body of Knowledge?

ISO 42001 offers a management system but no knowledge area structure. NIST AI RMF offers risk management but no role model. The EU AI Act offers legal frameworks but no implementation guide.

The AI-BOK brings these puzzle pieces together and fills the gaps.

Written for the CIO who needs to present an AI governance proposal to the board tomorrow. For the enterprise architect who must fit AI into an existing landscape. For the CHRO shaping workforce transformation. And for the project manager deploying an AI system to production for the first time.

Cognition PlaneNew architecture layer for AI agents, alongside data and control plane
Privacy by DesignKey vault pattern for pseudonymisation in AI systems
Sprint ChecklistAI governance integrated into your agile workflow
CIO 30-day planGet started immediately with concrete weekly actions

About the author

Jan Willem van Veen

Jan Willem van Veen

Principal Enterprise Architect

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.