Enterprises are rapidly moving beyond traditional chatbots toward AI systems that can plan, reason, and take action.

In this session, we explore what Agentic AI really means in practical terms and how it differs from chatbots and copilots. We will walk through the agentic lifecycle (goal → plan → act → observe → iterate), common enterprise architecture patterns, and how platforms such as Copilot Studio, Power Automate, Dataverse, and Azure OpenAI work together to enable these solutions.

Users will learn how to design single-agent and multi-agent systems, where to introduce human-in-the-loop controls, and how to apply responsible AI principles such as least-privilege access, auditing, and monitoring.

The session focuses on design thinking and real-world patterns rather than tool demos, helping architects and developers build AI agents that can safely move from prototype to production.