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← dispatches · AI agents · 26 October 2026

Which AI agent actions should need a human to approve first

Not every action needs a person in the loop, but some always should. A practical way to sort an agent's actions into free, confirm and never.

"Human in the loop" is easy to say and easy to get wrong. If a person approves everything, the agent is slower than the old process. If nobody approves anything, one bad day costs real money. The answer is to sort the actions deliberately.

Sort every action into three buckets

Free: the agent just does it

Actions that are read-only or trivially reversible. Looking up an order, checking opening hours, searching the catalogue, drafting text that nobody sees until it is approved. Make these instant.

Confirm: a person says yes first

Actions that cost money, change records or speak for you:

  • Taking a payment or issuing a refund.
  • Applying a discount.
  • Sending a message to a customer or to you on their behalf.
  • Changing or cancelling a booking.
  • Deleting anything.

The approval is part of the system. The agent prepares the action, shows exactly what it will do, and waits for an explicit yes from the right person. Without the flag, the tool refuses.

Never: the agent cannot do it at all

Some things should not be possible, whatever anyone types. Paying a supplier from a customer chat, exporting the whole customer list, reading another customer's data. Do not rely on the prompt. Do not give the agent the tool.

Who approves matters

A customer confirming "yes, send my message" is one thing. A refund needs a member of staff. Design the approval to go to the right person, with the context they need to decide in seconds: what, how much, why.

Make approval cheap, not optional

  • Show the action in plain language, not a JSON blob.
  • One tap to approve, one tap to reject with a reason.
  • Log who approved and when.

Add limits as well

Even approved actions deserve ceilings. A cap on reminders per customer, a daily limit on messages, a maximum refund without a second approver. In the sample agents on the Agents page, for example, the document-chasing agent stops after three reminders to the same person, and the operations agent will not take a payment without a confirmation.

The result is an agent that handles the boring majority quickly and hands the risky minority to a person with everything prepared. That is usually where the time savings and the safety both come from.

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I build agents that act on your real systems, with permissions, limits and a human approving anything that moves money. Hire me directly, or let my agent brief me first.

  • AI agents with real tools, and human approval for anything sensitive
  • WhatsApp, POS, CRM and back-office integrations
  • Embedded with your team, working remotely from Lahore

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