When a task requires multiple steps or multiple specialized agents, someone (or something) needs to decide the sequence: which agent goes first, what gets passed to the next one, what happens if a step fails or comes back ambiguous. That coordination role is the orchestrator. It doesn't usually do the underlying work itself, it decides who does what and when.

A simple example: resolving a customer complaint might involve one agent pulling order history, another checking refund policy, and a third drafting the response. The orchestrator sequences those calls, handles a failure in the middle step, and decides when the task is actually complete.

Frequently Asked Questions

How is an orchestrator different from an individual agent?

An agent typically does a specific piece of work, drafting a response, pulling a record. The orchestrator decides the sequence and routing between agents or steps, more like a project manager than an individual contributor.

Why do multi-step AI tasks need explicit orchestration at all?

Without it, there's no clear owner for handling a step that fails, times out, or produces an ambiguous result. Orchestration logic is what decides whether to retry, escalate to a human, or route to a different agent instead of the process silently stalling.

Does every AI agent need an orchestrator?

A single agent doing one self-contained task doesn't need one. Orchestration becomes necessary once a task spans multiple agents, tools, or sequential decision points where the order and handoffs actually matter.

How does orchestration relate to agentic workflows?

An agentic workflow is the end-to-end process being executed. The orchestrator is the mechanism that actually runs it, making the moment-to-moment routing decisions the workflow's design calls for.