Artificial intelligence is transforming every industry - but without strong governance, it exposes organisations to regulatory penalties, reputational damage, operational failures, and ethical risk. AI Governance Blueprint is the definitive, practitioner-ready guide for leaders who must build safe, compliant, trustworthy AI systems in a rapidly evolving regulatory landscape.
Designed for executives, risk professionals, data leaders, compliance teams, and AI practitioners, this book translates complex frameworks - including ISO/IEC 42001, the NIST AI RMF, and the EU AI Act - into clear, actionable steps you can implement immediately. You'll learn how to build an AI governance structure, conduct risk assessments, operationalise responsible AI principles, manage data quality, evaluate third-party AI systems, design transparency and explainability workflows, and prepare for audits and incidents with confidence.
Packed with templates, checklists, step-by-step instructions, and real-world best practices, this guide bridges the gap between high-level principles and day-to-day execution. Whether you're launching your first AI initiative or governing a complex enterprise portfolio, this book gives you the tools to reduce risk, accelerate adoption, and build AI systems that earn trust - from regulators, customers, and your own leadership.
If you need a practical, end-to-end roadmap for AI governance, this is the book you'll keep on your desk.