What Is AI Orchestration?

AI orchestration is the coordination of multiple AI models, tools and agents so they work together as a single system. An orchestration layer decides which model or tool handles each part of a task, passes information between them, and combines the results into a coherent output.

What an orchestration layer does

It routes each request to the most suitable model or tool, manages the flow of context between steps, runs models in parallel when useful, and merges their outputs. This lets a system use the best capability for each sub-task instead of forcing one model to do everything.

Why AI orchestration matters

As AI systems grow more capable, no single model is best at everything. Orchestration lets teams combine specialized models — one for reasoning, one for search, one for code — and get results none could achieve alone, while keeping the system reliable and observable.

Orchestration and consensus

A common orchestration pattern is consensus: run several models on the same task and synthesize their answers. Allecta uses this pattern to deliver cross-verified answers from multiple models.

See it in action

Allecta applies ai orchestration directly: it queries several leading AI models in parallel and synthesizes one cross-verified answer with consensus scoring — so you get the benefit of this concept without building anything.