Developers are increasingly burdened with deciding which model to use, when, and why. Hard-coding model choices quickly breaks down as cost, latency, availability, and quality requirements change across workloads.

Microsoft Foundry’s Model Router removes this complexity by automatically selecting the optimal model for each request based on real-time signals such as performance, cost, and latency. Instead of embedding decision logic into application code, teams can rely on Foundry to route requests intelligently, improving reliability, reducing operational overhead, and accelerating time to production.

In this lightning session, you’ll see how Model Router works, when to use it, and how it fits into modern enterprise AI architectures. Through a focused demo, we’ll show how a single application can dynamically route across multiple models, handle fallback scenarios, and evolve from a single-model prototype into a scalable, production-ready AI solution.