AI Glossary
What it means, why it matters to your business, and where it shows up in a real build decision.
In plain terms
Orchestration is the coordination layer that decides which model, tool, or step runs when, and passes information between them. The gap between a demo and a dependable system lives here. Most of the engineering effort in a real AI product goes into orchestration, not the model itself.
Orchestration is the conductor in an orchestra. The musicians are the models and tools. Without a conductor, each plays brilliantly in isolation. Orchestrated together, they produce something coherent.
A financial services company's loan processing workflow uses an orchestration layer that calls a document extraction model, a credit scoring API, and a decision model in sequence, with conditional routing based on each result.
In any AI system with more than one model, tool, or external data source. Orchestration is not optional in production; it is the layer that makes the whole system dependable.
Over-orchestrating simple tasks adds complexity without benefit. A single model call with a well-crafted prompt often needs no orchestration layer.
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