Agents in Production: The Governance Gap No One Talks About

​About Webinar

​95% of enterprise AI teams are running agents in production. Not pilots, not experiments — live systems making real decisions at scale.
And yet: 76% don't have unified logging across their AI models and workflows. 61% have no spend caps on agentic workloads. 41% only find out what they spent after the money is already gone. 51% can't confirm all their tool endpoints are properly authenticated.
These aren't edge cases. They're the norm — consistent across 200+ production deployments regardless of industry or stack.

This fireside chat brings together Nikunj Bajaj (TrueFoundry), Daniel Shir (Via Transportation), and Meenal Iyer (SurveyMonkey) to get into what these gaps actually look like from inside the organizations managing them — how teams are adapting, where the real exposure lives, and what the next 12 months look like as tool surfaces keep expanding and governance keeps lagging.

WHY ATTEND

• ​Find out why your AI costs keep surprising you even when inference spend looks fine

• ​Hear how practitioners are handling the audit and traceability gap when regulators or leadership ask questions

• ​Understand what agentic workflows actually do to your cost model and what controls are worth building early

• ​Get a practitioner's take on what separates AI projects that survive production from those that quietly stall