Also known as: agent autonomy, agent autonomy modes, observe, suggest, auto
Autonomy levels are discrete modes that control how independently an AI agent acts. Helm supports three: Observe (the agent reads and reports but makes no changes), Suggest (the agent proposes actions you approve or reject), and Auto (the agent executes directly within its permissions). Each agent's autonomy is configured per workspace, per role.
Where you'll see autonomy levels in day-to-day work inside Helm.
In Helm, autonomy levels are set per agent and can differ between agents in the same workspace. A common pattern: run the Payment Recovery agent in Suggest mode while tuning its voice, then promote to Auto once the sequences are proven. Run the Operations Manager agent in Auto for internal reporting but Suggest for anything that touches a client. Autonomy is a configuration, not a product tier. Starter plans support all three modes.
Concepts that show up in the same workflows and reports.
Common questions and honest answers.
Most teams start in Observe or Suggest mode for agents that touch client-facing work (email, invoicing, CRM updates). Internal-only agents (status summaries, capacity reports, standups) can often go straight to Auto.
Yes. Autonomy is a configuration, not a commitment. Most workspaces tune autonomy iteratively as they learn what an agent does well.
Auto mode respects the agent's tool permissions and workspace-level budgets. It can't exceed them. But any action with irreversible external consequences (large payments, client-facing commitments) is worth running in Suggest until you've seen the pattern enough to trust it.
Helm is the AI work platform where these concepts stop being theory and start being your Monday morning.