Autonomy level

What is autonomy level?

Autonomy level is how much an AI agent may do on its own before a person must review or approve its work. At the low end, the agent suggests and a person does the work. At the high end, the agent acts and a person watches the results. Many business uses sit in between, with the agent proposing and a person approving.

Why it matters to a revenue leader

Every leader already sets delegation levels: a new seller quotes from the price book, a senior seller can discount within a range, and anything bigger goes to the deal desk. Agents need the same clarity. A 2025 paper by Feng, McDonald and Zhang describes five levels defined by the user's role, from operator through collaborator, consultant and approver to observer, and argues that autonomy is a design choice separate from how capable the agent is; Anthropic's guidance also recommends human checkpoints and stopping limits so a person keeps control. Setting the level is a management decision, and the leader owns the result either way.

A mechanical services company lets an AI agent update CRM fields and log site-visit notes on its own. The same agent may draft renewal quotes, but a manager approves each one before it goes out. Price changes on national accounts stay with people entirely.