What behavioral data reveals about AI value

The article argues that CIOs should stop judging AI success by adoption metrics like logins, prompts, and licenses and instead measure whether AI actually changes work and improves outcomes. Using support-service examples, it shows that behavioral data can reveal displacement of manual steps, reduction in rework and handoffs, and faster resolution, which translates into better customer experience, lower operating cost, and more credible ROI. For IT organizations, this means instrumenting AI systems around workflow impact and friction, not just usage, to prove value and prioritize investments that meaningfully reshape processes.