The CEO's AI Handbook

AI transformation without burning billions

A briefing for CEOs of large companies on making AI pay: where value really shows up, how to fund it in stages with kill criteria, and how to govern people, boards, regulators and agents along the way.

Inside this book

• The AI P&L: find where value shows up in a large company and where it never will
• Consult before you command: use AI as a sparring partner and specify AI programmes by discovery before mandate
• Fund AI in stages with kill criteria and reference-class forecasts instead of billion-dollar bets
• Choose an AI operating model by mandate and value ownership, not by title
• Revenue, margin and operations: apply AI to pricing, promotions, marketing, forecasting, procurement and plants without collusion, backlash or forecasting traps
• Plan the workforce transition with reskilling and works councils before announcing headcount targets
• Give the board structured AI reporting and keep investor claims free of AI washing
• Map AI regulation onto deployment timelines and build a safety culture for automated systems
• Decide build, buy or partner, and limit model-vendor lock-in and concentration risk
• Bound agents at enterprise scale with least privilege, human approval at irreversible steps and override monitoring

By Valentin Nagacevschi