AI agent orchestration is the practice of coordinating several agents so they complete one larger task reliably.
Why one agent is not enough
Real workflows involve different skills: reading documents, looking up records, checking policy and asking a person to approve. Splitting these into focused agents makes each one easier to test and control.
What an orchestrator handles
- Passing context and results between agents
- Retrying steps that fail and stopping runs that stall
- Branching when a result needs a different path
- Pausing for human approval
- Recording each step for later review
Good orchestration is mostly about visibility and control, not just connecting agents together.