Each party did a different part of the work. Gunnar Nordqvist's part was the design and the responsibility: the subject, the table of contents, the brief for every chapter, the author persona and the style rules the agents work under, the review of every change, the approval of what is published, and the responsibility for the result. The part of the AI agents was the execution: drafting the prose, checking sources and consistency, applying the style guide, producing the diagrams and formatting the editions. Wherever this book says "the author", it means Gunnar Nordqvist in that role, as the person who conceived and directed the book and answers for it, not as the person who wrote its sentences.
The way of working is described further in the section "How this book was made" below.
This book, like the other volumes of The Transformed Architecture, Architecture as Code, AI Governance, AI Platform and Security, AI Red Team, AI Threat, The Transformed Security Architect, AI Boss, AI Blue, AI Purple and AI Operations, draws on decades of practice at the intersection of enterprise architecture, infrastructure engineering, information security, and organisational change. The book is conceived from the perspective of a practitioner, Gunnar Nordqvist, who has watched architecture move from documents to code and who has applied the same discipline to artificial intelligence and, in this book, to the way leadership is exercised and answered for when AI is used broadly across large European organisations.
Primary topics explored
- Who made this book
- Gunnar Nordqvist
- The series
- About Kvadrat
- Swedish terminology reference
- How this book was made
About AI Leader
AI Leader is Book 11 of The Transformed Architecture. It takes leadership as its subject and asks what happens when AI is used broadly: the five leadership functions (orient, decide, organise, enable, answer), the delegation ladder and the Level 4 prohibitions, the answerability principle (name, explain, reach), the span and the middle layer, human-agent work, the board and the management body, change and adoption as claims that need evidence, regulation (the AI Act, DORA, NIS 2, the GDPR), ethics and sovereignty, and the leader as a person, for European enterprises and public authorities.
It builds on the conclusions of Architecture as Code, AI Governance, AI Platform and Security, AI Red Team, AI Threat, The Transformed Security Architect, AI Boss, AI Blue, AI Purple and AI Operations.
chairs and members of boards, chief executives and executive teams, the changing C-suite, middle managers and first-line leaders, heads of public authorities and the politicians who oversee them, HR specialists, works councils and unions, architects who advise leaders, and supervisors and auditors.
Continue with the full chapter
About the Author: About the Author in AI Leader gives the detailed explanations, practical examples and implementation patterns behind this summary.
This whitepaper belongs to “Appendices” and is one of 37 drawn from the manuscript.