DevRev

You've deployed AI. Your customers are still frustrated. Your employees are still second-guessing. And somewhere between the model and the moment, trust is breaking down.

Here's what most organizations are finding out the hard way: AI doesn't fail because the technology is wrong. It fails because the memory is broken, the context doesn't survive the handoff, and no one owns the experience in between.

The fastest deployments are surfacing the clearest gaps — and the leaders who are getting ahead of it aren't the ones who moved slowest. They're the ones who asked harder questions before the dysfunction scaled.

This session is for CX leaders who are past "should we deploy AI" and deep into "why isn't it working the way we expected." Bring your real examples. We'll compare notes, pressure-test assumptions, and leave with a clearer picture of what it actually takes to build AI experiences people trust.

Personal AI is already inside your organization — and it's working. Employees are using it to move faster, think sharper, and get more done, often without a formal rollout or IT blessing.

But here's the challenge every enterprise AI leader is now facing: personal productivity doesn't automatically become organizational intelligence. The tools that make individuals brilliant can quietly make teams more fragmented. The gap between personal AI and true Team Intelligence is where most enterprise AI strategies are stalling.

In this session, Ahmed Bashir explores the architectural thinking behind operationalizing AI at scale — how to move from a collection of personal tools to a shared intelligence layer that connects people, data, and decisions across the organization. He'll cover what it takes to make AI enterprise-grade without losing the speed and simplicity that made it valuable in the first place, and how leading organizations are building AI that works for the individual, the team, and the customer — all at once.

For CIOs, heads of AI, and senior leaders navigating the next phase of enterprise AI deployment.