AI projects are transforming traditional workflows into distributed, iterative processes that lack clear visibility and accountability, challenging CIOs to find new ways to govern and track them effectively. As AI adoption spreads across business functions with minimal built-in controls, IT leaders must balance fostering innovation with implementing governance to ensure responsible deployment, oversight, and ongoing evaluation, shifting their role from project delivery to stewardship of AI as a core, accountable part of enterprise operations.