Most large organizations are now dealing with the same thing: people want to build their own AI agents, and there's no good way to let them do it safely.
Give teams complete freedom and you end up with agents nobody tracks, costs nobody predicted, and security gaps nobody signed off on. Clamp down and you're back to a queue of requests waiting on a central team.
This half-day session is about the middle path — how regulated enterprises are actually making this work in practice. We'll cover the mechanics: agent registries, zero-trust access, runtime observability, and how to catch shadow agents before they become a problem. We'll talk about the growing clutter — the same pattern that left companies with hundreds of unused BI dashboards, – except, – agents cost more and carry real security exposure. And we'll walk through how to let teams build their own agents, test whether they're worth keeping, and move the good ones up to enterprise scale — using the tools and licenses you already have, and not another new platform.