Orchestration
The coordination layer that decides which model, tool, or agent handles each step of a workflow and in what order.
It is the conductor of a multi-step AI system, turning separate pieces into one reliable process.
Frequently asked questions
What does orchestration mean in AI?
It is the coordination layer that decides which model, tool, or agent handles each step of a workflow and in what order. Think of it as the conductor turning separate pieces into one reliable process.
Why do multi-agent systems need orchestration?
Because several agents working at once need someone to direct the sequence, or their outputs will not line up. Orchestration is what keeps a multi-step, multi-agent job moving in the right order instead of stepping on itself.
Is orchestration something I set up myself?
For simple uses it happens behind the scenes, but for a custom multi-step workflow, orchestration is the design work of mapping which tool or agent runs when. Getting that order right is often what makes an AI system reliable rather than flaky.
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