Path to Production for AI Agents

Adelina Balasa, AI Global Strategy Lead at Microsoft, introduces a practical roadmap for addressing the gap between a working agent demo and an enterprise deployment. This opening session frames the architectural, operational, and organizational work needed to deliver consistent business value.

From demo to production

An impressive AI agent demo does not establish that the solution is secure, governable, cost-effective, or reliable enough for production. Moving from experimentation to deployment and scale requires more than choosing a model.

Balasa introduces a framework developed through work with hundreds of customers and partners. It addresses the people, processes, platforms, and practices that support agents from ideation through enterprise-scale operation.

Six pillars of production readiness

The Path to Production for Agents framework brings together six areas:

The session introduces how these pillars work together as a roadmap. The wider master class series examines each pillar in more depth, with practical guidance and actionable steps.

Applying the framework

The central distinction is between proving that an agent can work and establishing that an organization can deploy, operate, and scale it effectively. The framework helps teams consider architectural and organizational readiness alongside model selection.

The session also addresses agent architectures and brings the six pillars together to connect production readiness with real-world business impact.

Session chapters