Daniel Tehan

As AI agents move from pilots to production, new challenges emerge around coordination, context, and control. Join this roundtable to share and explore how organizations are designing multi-agent systems, managing shared memory and task boundaries, and applying agents to customer intelligence. Bring your questions, lessons, and frameworks as we discuss what’s working—and what’s not—in real-world deployments.

Learn how to build and operationalize AI agents that drive enterprise value. This session explores how to layer multi-agent workflows, manage inter-agent memory using MCP, and coordinate behavior across tasks and systems. See how agents can activate autonomous customer intelligence by learning from behavior and acting in real time. Includes use cases, architecture patterns, and real-world examples of agents in action.