AI orchestration
AI orchestration is the coordination and management of multiple AI agents, tools, and workflows to autonomously and efficiently execute complex, multi-step.
Detailed explanation
As AI systems become more complex, the need for orchestration increases. Orchestration is the conductor that determines which agent performs which task, when, in what order, and based on what input. Without good orchestration, even the best AI agents create chaos. Popular orchestration frameworks include LangChain, LangGraph, AutoGen, and CrewAI.
Synonyms
Examples
A complex sales scenario: prospect responds negatively. The orchestrator detects sentiment, routes to the 'objection agent', validates through 'tone-check agent', and only then sends, all in seconds.
When to use this?
AI orchestration is essential for complex, multi-agent systems where reliability, scalability, and error handling are critical.
Your Company OS approach
In Your Company OS, orchestration decides who picks up which work: your AI colleagues, your team and your connected systems. You see what happens and can step in.
Related terms
Want to know more about AI orchestration?
Want to know how to put AI orchestration to work in your organisation? Get in touch with Your Company OS.