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AI Orchestration

Coordinating multiple AI models and agents working together on complex tasks — from resource allocation to data flow management.

What is AI Orchestration?

AI orchestration is the process of coordinating multiple AI models, agents, and services within a single workflow. Instead of relying on one model, an orchestrator assigns tasks to specialized components and merges their results.

How does orchestration work?

The orchestrator acts as a "conductor" — it analyzes incoming tasks, breaks them into subtasks, assigns them to the right agents or models, then collects and consolidates responses. Key elements include: query routing, context management, error handling, and cost optimization.

Business applications

In enterprise practice, orchestration enables automation of complex processes requiring different AI competencies — e.g., email classification, response generation, and CRM updates in a single workflow. Companies using orchestration reduce API costs by up to 70% by routing simple queries to cheaper models.