AI agent orchestration is the coordination layer that manages multiple AI capabilities, tools, and workflows to handle complex customer requests that require sequential or parallel operations across different systems.

A customer asking "cancel my subscription, refund the last charge, and confirm my data will be deleted" triggers multiple distinct operations. Orchestration decomposes this into tasks (cancel, refund, data deletion), determines dependencies and sequencing, dispatches each to the appropriate system or capability, handles failures, and assembles a coherent response.

Orchestration complexity increases with the scope of what AI can do. Simple chatbots don't need orchestration—they just respond. AI agents that access databases, execute transactions, and integrate with external systems require sophisticated orchestration to manage state, handle errors, and ensure reliability.

For CX teams evaluating AI platforms, orchestration capability determines what's possible. Can the AI handle requests requiring multiple backend actions? Can it recover from partial failures? Can it maintain coherence when customer requests change mid-conversation? These aren't model capabilities—they're orchestration capabilities.

Related terms: AI workflow automation, AI agent handoff, Next-best action