The AI Execution Risk Index: Why Productivity Erodes Before ROI Appears—and How to Detect It Early

Usage metrics may tell one version of AI’s success—but are they measuring the right outcomes?

AI can increase output before the organization is ready to absorb it. Beneath rising adoption, leaders may be missing the risks that stall ROI: unclear ownership, overloaded managers, heavier review cycles, and workflows that produce more without becoming more efficient. That is where AI execution risk begins.

This insight paper examines the growing gap between AI adoption and operational stability. Drawing on the latest research and enterprise trends, it introduces the AI Execution Risk Index—a framework designed to help leaders identify the structural pressures that quietly erode ROI before financial indicators reveal the damage.