# Multi-Agent Orchestration

> Multi-agent orchestration is coordinating several specialized AI agents (each handling part of a complex workflow), so they work together reliably toward one outcome.

_Source: https://plenaura.com/glossary/multi-agent-orchestration · Last updated: 2026-06-03 · Plenaura_

## Key points

- Each agent owns a focused step (extract, validate, decide, act) rather than one model doing everything.
- Adds control, observability, and error handling to complex, multi-stage processes.
- Used for workflows like document processing, research, and operations automation.

## FAQ

### When do you need multiple agents instead of one?

When a process has distinct stages with different skills and failure modes. Splitting it into specialized, coordinated agents is more reliable and far easier to monitor and improve than one monolithic prompt.