Managing AI at scale: How to optimize AI costs and know when the investment is worth it?

As AI becomes part of everyday product development, organizations face a new challenge: how do you maximize the value it delivers while keeping costs under control? How do you know whether AI is actually improving productivity? When should usage be encouraged, limited, or standardized? And what practical strategies help teams reduce unnecessary spending without slowing them down?

This session brings together product, design, and engineering leaders to discuss how their organizations measure AI ROI, manage adoption, optimize costs, and scale effective AI practices across teams. We’ll compare different approaches, share lessons learned, and explore where AI creates measurable value, and where it doesn’t.