AI Governance Playbook: A Practical Guide to Building Trustworthy and Responsible AI Systems

THE AI GOVERNANCE PLAYBOOK Artificial intelligence is transforming organisations at unprecedented speed. Without effective AI governance, however, it can expose leaders to significant ethical, legal, and operational risk. The AI Governance Playbook is a practical guide for executives and practitioners responsible for building trustworthy, compliant, and accountable AI systems in real-world environments. This playbook provides the clarity, structure, and practical tools needed to design AI strategies, governance frameworks, and operating models that align with corporate strategy, regulatory expectations, and organisational risk appetite. Drawing on two decades of global strategic consulting and hands-on delivery experience, Hamza Khokhar combines an engineering mindset with pragmatic advisory insight to guide organisations in governing modern AI systems, including high-risk, generative, and agentic AI across their full lifecycle. Inside this book, you will learn how to: Design and implement an enterprise-wide Responsible AI governance framework aligned to global standards Identify, assess, and manage AI model risk using proven governance controls across the AI lifecycle Operationalise explainability, bias testing, model monitoring, privacy, and security safeguards Navigate emerging regulatory requirements, including the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001, and APRA standards Govern high-risk, generative, and agentic AI systems at scale with clear accountability Enable boards, executives, and delivery teams to make informed, responsible decisions about AI adoption Written for executives, risk leaders, and practitioners deploying AI in high-stakes or regulated environments.