A practical governance framework for AI at board level, from a Fractional CDO who taught himself to code from scratch after watching a generation of colleagues made redundant rather than retrained. Built around the author's AI-HI™ framework, this book shows leaders how to separate AI exploration from AI execution, build institutional safeguards against fabricated output, and pressure-test decisions before they reach the board.