Enterprise AI adoption is accelerating, but most organizations are managing model access, costs, and governance across disconnected systems with no unified view. Join us to see how MuleSoft's AI Gateway capabilities give platform teams a single control point for every LLM interaction, across every provider. We'll cover intelligent routing, token cost management, and how to enforce consistent governance policies without slowing down the teams building on top of AI.
What you'll learn:
- How to route requests to the right model automatically, based on cost, task complexity, and provider availability
- How to track token consumption by team, application, and business group, before costs get out of hand
- How to apply governance policies at the gateway layer so every team operates under the same rules, without extra overhead
Who should attend: Platform engineers, FinOps teams, and anyone responsible for scaling AI infrastructure responsibly.
