Agent Orchestration in the Enterprise: Coordination, Control, and Scale

Description

As enterprises move from isolated AI assistants to interconnected agentic systems, orchestration is becoming a critical layer of the AI stack. Coordinating multiple agents across tools, data sources, models, and workflows introduces new opportunities for automation—but also new challenges around reliability, governance, observability, and control. This session explores what it takes to design and operationalize agent orchestration in enterprise environments. From assigning roles and managing handoffs to monitoring performance and enforcing guardrails, we’ll examine how organizations can build coordinated agent systems that scale without sacrificing trust, security, or human oversight. What You'll Learn: 1️⃣ From Agents to Systems: How orchestration enables multiple agents, models, tools, and workflows to work together toward shared business objectives. 2️⃣ Coordination and Handoffs: Approaches for assigning tasks, managing dependencies, resolving conflicts, and maintaining context across agents. 3️⃣ Control and Observability: How to monitor agent behavior, evaluate performance, and intervene when workflows break down or produce unexpected outcomes. 4️⃣ Scaling Responsibly: Strategies for governing, securing, and scaling agentic systems while maintaining accountability and appropriate human oversight. Register Here