Building an AI agent demo is easy. Running one reliably in production is not. This session walks through the architecture of a production-ready agentic application on Azure, covering model access, grounding, tool calling, MCP, identity, evaluation, observability, reliability, and deployment. We will examine how Microsoft Foundry and Azure services can support the lifecycle from prototype to enterprise deployment, while addressing latency, cost, security, failure handling, and human oversight. Attendees will leave with a practical reference architecture and decision framework for moving AI agents beyond experimentation and into real-world applications.

Focus: Microsoft Foundry, tool calling, MCP, grounding, evaluation, deployment, observability, reliability, cost, and production readiness.