May 19, 2026 | 02:00 PM Eastern Time (US and Canada)
AI spend in the cloud is exploding and governance is struggling to keep up.
While most teams focus on controlling production costs, the real budget drain is often happening elsewhere in non-production environments. Sandbox, dev, and test environments have become hotspots for unchecked AI experimentation, spinning up expensive resources that linger long after the workday ends.
And the stakes are only getting higher. Gartner forecasts AI spending will reach $2.52 trillion in 2026, growing 44% year over year.
Without the right guardrails in place, it’s easy for innovation to quietly turn into waste.
Join us Tuesday, May 19th as we explore how to take control of AI cloud spend without slowing down your teams.
We’ll walk through practical approaches for automated governance, showing how FinOps teams can enforce policies, reduce risk, and eliminate unnecessary AI costs.
In this session, you’ll learn how to:
- Implement FinOps guardrails for AI today: The essential enforcement controls every team should have in place to manage AI spend effectively.
- Set smart policy boundaries for AI experimentation: Enable safe, cost-aware innovation without creating friction for engineers.
- Automatically eliminate wasted AI spend: Shut down idle or unnecessary resources when they’re not in use — no manual intervention required.
You’ll leave with a clear, actionable framework for governing AI spend in the cloud, plus practical strategies you can apply immediately to reduce waste, improve accountability, and scale AI responsibly.
