AI initiatives often fail not because the technology is weak, but because leaders lack the right metrics to evaluate success.

Key AI Metrics for Business Leaders is a concise, executive-focused guide to measuring AI performance in ways that align with business outcomes. Written for executives and product leaders, this book bridges the gap between technical model metrics and decision-relevant indicators.

Rather than focusing on algorithms, it explains how to define, interpret, and govern KPIs that matter at the business level.

Readers will learn how to:

• Define AI KPIs aligned to strategy, risk, and value creation
• Distinguish technical performance metrics from business impact
• Measure adoption, reliability, and decision quality
• Track AI return on investment and opportunity cost
• Build governance dashboards for executive oversight
• Ask better questions of technical teams and vendors

This book equips leaders with a practical measurement framework to steer AI initiatives with confidence, accountability, and clarity.