Every executive wants AI ROI. Almost none can clearly articulate it.
The issue isn’t missing metrics, it’s measuring the wrong things and calling them value. Hours saved and pilot wins look good on dashboards but rarely show up on the P&L.
Examine why AI business cases collapse between pilot and scale, and how to distinguish performance theater from real enterprise impact. Real AI value connects local improvements to financial outcomes: increased throughput, avoided hiring, reduced rework, higher conversion, lower risk. That requires governance before measurement and evidence built step by step—not assumptions that jump straight to ROI.
Listen to enterprise client panelists who have mastered this challenge and learn from hands on best practices.