How do you train people to give good reasons when they decline an agent’s draft?

Give people a simple structure, show them good and bad examples from their own work, and practise on real drafts until it becomes habit. A good reason says what was wrong with the draft, which source or rule shows it, and what the right outcome is. That makes the agent better and the record defensible.

Why do reasons matter so much?

A reason does three jobs at once.

It improves the agent. Agents are qualified, not retrained: their brief, sources and bounds change, never the model's weights. The reasons reviewers write are the raw material for those changes. "Wrong" teaches nothing. "Applied the superseded fee schedule; the current schedule is version 4, which caps the fee at 25" tells the agent's owner exactly what to fix.

It makes the record defensible. Every verdict is filed in an append-only record. When a customer complains or an auditor asks, the reason is the only explanation of why a person overrode the agent.

It lets colleagues follow. The next reviewer, a calibration session or a team lead coaching someone can all see the thinking. The skill is covered in depth in how to train reviewers to write reasons a colleague can follow.

What does a good reason contain?

Three short sentences is usually enough. Longer is not better.

How do you teach it?

1. Show the structure in a short session, using the table above.
2. Use the team's own reasons. Pull a dozen real reasons from the record, anonymised, and sort them together into weak and strong. People recognise their own habits quickly.
3. Practise on real drafts. Give reviewers declined drafts and ask them to rewrite the reason. Compare in pairs.
4. Give feedback in the flow. Team leads or champions comment on reasons during normal sampling, not only in training.
5. Close the loop. Show reviewers when their reason led to a change in the agent's brief. Nothing motivates good reasons like seeing them used.

What does it look like in a lending team?

Take a lender whose agent drafts decline reasons for credit applications. Reviewers often decline the agent's draft reason and write their own, but the team lead finds most rewrites say "reason unclear" or "rewritten". Neither helps the agent or a borrower.

The team spends one session sorting real examples, then a week practising. A month later, a typical reason reads: "Draft cited insufficient income; real reason is existing commitments of 1,200 a month on the credit file; reason rewritten to name commitments." The agent's owner sees the same issue in several reasons and changes the brief so the agent ranks the factors correctly. The wider practice of drafting decline reasons is covered in how to draft credit decline reasons with an AI agent, and the US requirements in ECOA and Regulation B: training reviewers to give credit decline reasons.

Does this matter for a small business?

Yes, and it is easier. A small team can review each other's reasons weekly without formal sessions; see what good AI agent training looks like for a small business. For a first deployment, reason-writing belongs in the plan from day one, as set out in what a good AI agent training plan for a first deployment is.

Where the Academy fits

Pryme Intelligence Academy's Operator track covers human review and teaching the agent as separate modules, and the practicum assesses real review decisions, reasons included. The certificate is issued through VerifyDoc.ai and listed on a public register. The topic guide on training teams for AI agents covers the rest of the reviewer's skill set.