The first phase of enterprise AI was about getting started: securing access to frontier models, launching pilots, and learning what was possible. The next phase is harder. As token costs rise, AI sprawl increases, and employees are forced to move between fragmented experiences, leaders need a clear answer: how do we turn AI investment into lasting enterprise value?

Glean’s Executive Exchange series brings together senior technology and business leaders to discuss the economics of running AI at enterprise scale. The conversation will focus on how to control AI spend without slowing progress, improve the return on every token, and build an AI strategy that can scale and adapt as models, providers, and use cases change.

You’ll leave with a practical way to think about AI investment, maximizing ROI, and the right platform architecture that determines whether an AI program becomes a durable business capability or another layer of cost and complexity.