multi-agent ai orchestration
What Is Multi-Agent AI Orchestration?
Multi-agent AI orchestration coordinates specialized AI agents so complex workflows can be split into roles, tools, decisions, and review points.
Why orchestration exists
One agent can become too broad to govern. Orchestration separates responsibilities and makes it easier to control context, tools, permissions, and outcomes.
How it works
An orchestration layer routes tasks, passes context, tracks state, manages approvals, and decides whether another agent or a human should handle the next step.
Where it fits
It fits workflows with multiple specialties: finance operations, claims, procurement, customer operations, IT service management, and modernization programs.
What to govern
Teams need visibility into agent roles, prompt versions, tool access, audit logs, evaluations, failure modes, and human escalation paths.