AI Orchestration is the coordination of multiple AI models, agents, tools, data sources, and computing resources so they can work together to complete a task or business process. Instead of relying on a single model, an orchestration layer determines which component should act, in what order, and how their outputs should be combined.
AI orchestration can manage tasks such as model selection, workflow routing, tool invocation, context sharing, and error handling. It is particularly useful in multi-model and agentic systems where different models may handle specialized functions, such as reasoning, image analysis, retrieval, or code generation, while an orchestration layer coordinates the overall workflow.
