Builders
Builders
Customer Experience Peer [X]Change: The Clarity Crisis: Why AI Breaks Between Systems, Teams, and People
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.
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.
Best for:
Corporate Strategy/ BD/ CAIOTechnology
Sponsored by DevRev
Presented by
Ahmed Bashir
Chief Technology Officer
DevRev
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