As enterprises accelerate AI investment, CIOs are under growing pressure to prove whether those investments actually improve how work gets done. But surface-level signals such as logins, licenses, or token usage don’t show whether AI increases productivity, expands capacity, reduces costs, or reshapes workflows in meaningful ways. To make smarter investment decisions, leaders need visibility into what happens between AI spend and business outcomes. In this CIO Dive panel discussion, leaders from ActivTrak will explore how organizations can move from AI activity to AI accountability. They will examine how a continuous view of work helps establish evolving baselines, identify stalled or shallow adoption, uncover workflow friction, and reveal where AI should be deployed next. Key Takeaways: Measure AI impact beyond basic usage Connect AI activity to productivity, capacity, and cost outcomes Spot stalled adoption and workflow friction Manage shadow AI risk without slowing innovation Build a stronger case for future AI investment
