If your AI bill jumped 40% next month, could you tell your CFO why?

Engineering leaders are watching AI tool adoption accelerate across their teams, but few can answer the most basic question their finance team is starting to ask: Who’s using what, on which projects, with what data. Provider dashboards stop at the company total, AI gateways route traffic but don’t attribute it. As AI moves to a top-line item in the engineering budget, organizations need a better way to see what’s actually happening before they can govern it.

In this webinar, the team behind Kyverno walks through [how Nirmata approaches AI usage visibility & governance, including] practical strategies for attributing spend by developer and project, surfacing waste and model misuse, and laying the foundation for the security and compliance controls that come next. Attendees will leave with a clear view of what visibility into AI usage looks like and a practical path to closing the attribution gap.

We’ll discuss how to:

  • Attribute AI spend to individual developers, projects and tickets
  • Spot model misuse and prompt waste before they show up on the bill
  • Set the foundation for budget guardrails, security policies, and audit trails that the rest of the org will need
  • Recognize where AI gateways and provider dashboards fit & where they leave gaps

Who should attend:

This webinar is ideal for VPs and Directors of Engineering, platform engineering leaders, and CTOs at companies where AI tool adoption has outpaced governance