What's the Difference Between AI Agent Types?
Copilots, workflow bots, autonomous agents, and multi-agent teams — categories, trade-offs, and when each type fits.
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Direct answer
Copilots assist inside one app. Workflow agents run steps on a trigger. Autonomous agents plan, use tools, and loop until done. Multi-agent systems split work across specialized roles with a coordinator.
Key points
- Copilot — human drives; AI suggests (low risk, low autonomy)
- Workflow agent — fixed DAG; good for ETL-style automation
- Autonomous agent — dynamic tool use; needs sandboxes + Ask
- Multi-agent — research + writer + reviewer; needs clear handoffs
Comparison
| Type | Autonomy | Governance need |
|---|---|---|
| Copilot | Low | Moderate |
| Workflow | Medium | Procedure docs |
| Autonomous | High | Ask, scopes, evals |
| Multi-agent | High | Role boundaries + logs |
See also: AI agent vs RPA.
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