Agents that take real actions in real systems — which makes permissions, approval gates, and audit trails the entire conversation, not an afterthought.
The Real Problem
The shift from assistance to action changes the risk profile entirely. An agent with mailbox access can send on your behalf; one with finance access can move a payment; one with admin rights can change permissions. The failure mode is no longer a bad answer — it’s a real action taken in a real system, and undoing it is not always possible.
None of that argues against agents. It argues for treating them exactly like a new employee with system access: scoped permissions, supervision on the consequential things, and a log of what they did.
What’s Included
Deciding what should be automated and, more importantly, what shouldn’t be.
Least-privilege access per agent, so capability is bounded by design rather than by trust.
Human confirmation required before consequential or irreversible actions execute.
A complete record of what the agent did, when, and on whose authority.
Defined behaviour when something goes wrong, including a clear way to stop an agent mid-task.
Monitoring of what agents are actually doing, because behaviour drifts as systems and prompts change.
Common Questions
Somewhere reversible and low-stakes. Drafting, triage, and data preparation are good first steps; anything touching money or external communication should come much later.
You are — which is exactly why permissions, approval gates, and logging matter more here than in any other AI use case.
Answer that carefully before granting the access. We’ll work through it with you.
