We are at an inflection point: AI is moving from isolated tools to becoming the foundation of tomorrow’s autonomous operating systems. Today, organizations are beginning with practical applications — automating workflows, improving communication across systems and partners, and structuring data for decision-making. These first steps may feel incremental, but they are the groundwork for something far larger: an AI-native foundation that learns, adapts, and ultimately orchestrates operations end to end.

By treating today’s automation projects not as endpoints but as building blocks, enterprises can fuel compounding value. Every automated workflow generates richer data; every AI-mediated interaction strengthens the connective tissue across teams, systems, and external networks. The result is momentum: visibility, speed, and resilience in the short term, and exponential impact in the long term as these capabilities evolve into a truly autonomous operating system.

This session will explore how companies can strike the right balance — implementing what’s possible now while setting the stage for where AI is headed. We’ll discuss frameworks for laying these foundations, lessons from early adopters, and why thinking big about AI’s trajectory is essential to capture its full potential.