Preface
Why This Book Exists
AI is no longer only a technology topic. It is a leadership topic.
Over the past few years, artificial intelligence has moved from research labs and specialist data teams into boardrooms, legal functions, procurement, public policy, and operating models. Senior leaders are now being asked to approve AI investments, assess vendor claims, manage legal and reputational exposure, and oversee organisational change driven by AI-enabled tools.
That shift creates a practical problem: many leadership decisions about AI must be made before the technology is fully understood, before regulation is fully settled, and before internal governance is mature.
This book was written to close that gap.
Who This Book Is For
This book is written for SME owners, research leaders, cooperative leaders, executives, directors, policymakers, public officials, and senior managers who need to make decisions about AI — and who want to make those decisions well.
You do not need a technical background. You do not need to understand neural network architectures or model training pipelines. What you do need is a disciplined way to think about AI as a leadership issue: where it can create value, where it can fail, what evidence is strong enough to act on, and how responsibility should be assigned.
What This Book Covers
The book is organised into four parts:
- Understanding the AI Landscape — What AI is, why it matters now, and how the external environment is changing
- AI Strategy and Value Creation — Where AI creates value, how to source capability, and how to design a practical roadmap
- AI Governance, Risk, and Leadership — How to assign accountability, manage risk, and prepare for compliance scrutiny
- The Future of AI-Driven Organisations — How leaders should think about autonomy, critical sectors, trust, and long-term positioning
The book also includes executive appendices with practical tools such as governance checklists, risk templates, vendor evaluation prompts, and a glossary of key terms.
How to Use This Book
Each chapter is designed to stand alone. You can read from beginning to end, or jump to the chapter most relevant to your current challenge.
Where possible, each chapter ends with a short set of questions you can use to assess your own organisation’s maturity in that area.
The book is intentionally practical. It does not try to predict every technical breakthrough or legal development. Instead, it focuses on decision quality: how leaders can ask better questions, demand better evidence, and build governance that remains useful even as tools and rules change.
Where a topic is evolving quickly, treat the chapter as a decision framework rather than a substitute for legal, technical, or sector-specific advice.