Agents that touch money need a human gate

Agents are good at a lot

AI agents can now read a supplier file, match parts to vehicles, draft listings, check stock, prepare an EDI document and summarize a customer issue, quickly and around the clock. In a parts business that removes a huge amount of busywork.

Where we draw the line

Some steps carry real consequences: a refund, a price change, a large order, a message that commits the business to something. For those we keep a person in the loop. The agent does the work and prepares the decision; a person approves it.

This isn't distrust of the technology. It's the same rule a good business applies to a new employee: plenty of responsibility, and a second set of eyes on anything that's hard to undo.

How to build the gate

• Make the agent show its work. Every proposed action comes with the data it used and the reason.
• Make approval one click. If approving is slow, people start rubber stamping or skipping it.
• Set clear thresholds. Small, reversible actions can run on their own. Anything above a dollar amount or outside normal patterns waits for a person.
• Log everything. Who approved what, and when.

Why it pays off

The cost of a human gate is a few seconds per decision. The cost of an agent confidently issuing the wrong refund, or promising a ship date the warehouse can't meet, is much higher, and it erodes trust in the whole system. Gates are what let a team keep giving agents more work.