Agent Governance: How to Set Limits and Approvals for AI Agents

Long-running agents are valuable because they keep working. That's also why they need clear limits. Governance makes sure people stay in charge of what agents are allowed to do.

What governance covers

• Scope: which sources and tools an agent can reach.
• Actions: what it may do alone and what needs sign-off.
• Visibility: how your team sees what it did and why.

Setting limits

Start narrow. Give Constella Agents read access to the sources a task needs, and allow only the actions that task requires.

Using approvals well

Place approvals where judgment matters: sending to a client, changing a ticket's priority, publishing a document. Routine, reversible steps can run without interruption.

Reviewing the work

Because answers and actions trace back to cited sources in company memory, reviewers can check the reasoning, not just the output. Corrections feed back so the agent improves.

Enterprise considerations

Larger organizations can combine access governance with in-house open-source models and self-hosting. See Constella for Enterprise and Trust and Controls.

Watch and learn

Two short videos go deeper: Agent governance: how to set limits and approvals for AI agents and Agent approval controls: setting limits for long-running AI agents.