Runaway AI spend can start with a retry loop or an uncontrolled agent experiment. AI Spend Controls in Unity AI Gateway help teams catch it early.
Organizations can set budget alerts and hard spend caps by user, use case, workspace, or account. Combined with Databricks budgets and cost data logged to Unity Catalog system tables, teams gain visibility and accountability across models, agents, MCPs, and providers.
Learn how to monitor, contain, and govern AI spend at scale: