PrymeIntelligence

Training teams for AI agents·Template

Reviewer onboarding checklist for contact centre

A reviewer onboarding checklist for the contact centre: held refunds and account changes, vulnerable callers, queue pressure, practicum and sign-off.

Contact centre reviewers decide held actions while customers wait, so their onboarding has to build accuracy under time pressure. This checklist runs from restricted access and red lines, through shadowing on the live held queue, reviewer training and exam, to a two-week practicum covering refunds, account changes and vulnerable callers, then sign-off with set limits.

What makes contact centre review hard?

Speed. In most back-office teams a held action can wait an hour. In a contact centre, the agent may be mid-conversation with a customer when it holds a refund or an address change for a person. The reviewer has minutes, sometimes seconds. That pressure produces the classic failure: approving because the customer is waiting.

The work itself is varied. The agent answers questions, drafts replies, applies standard credits within bounds at depth 3, and holds refunds above the limit, account changes after a failed security step, and complaints. It should tell customers they are dealing with an AI system; in the EU, Article 50 of the AI Act requires people to be told when they interact with one. The reviewer needs to know what the customer has already been told, so the human handover makes sense.

Vulnerable callers add another layer. A customer who sounds confused, distressed or under someone else's influence needs a person, and a reviewer must spot it even when the agent did not.

How should a contact centre run this checklist?

The contact centre manager owns it, and team leads sign the shadowing and practicum lines. Schedule the practicum outside the busiest weeks, so the reviewer is marked on judgement rather than on surviving a surge. The question of who goes first is covered in who in a contact centre needs AI agent training first, and the wider sequence in the guide to training teams for AI agents.

The checklist

Set-up (before the first shift) 1. Workspace access to see the held queue; no approval rights. 2. Agent capabilities and depths read: replies (2), standard credits (3), refunds above limit (4, held), account changes after failed checks (held), complaints (held). 3. Red lines signed: never approve an account change and a refund together after a failed security step; never approve under pressure from a caller claiming a manager's promise without checking the record; always pass a vulnerable caller to a person. 4. Buddy assigned from the certified reviewers on the same shift pattern.

Shadowing (first week) 5. Two shifts beside the buddy on the live held queue. 6. Observed a refund held and approved with a reason. 7. Observed a vulnerable caller handed over.

Training (weeks 1 to 5) 8. Shared foundation complete, test passed. 9. Reviewer modules and written exam complete.

Practicum (weeks 6 and 7) 10. Two weeks of real held decisions, each confirmed by the buddy within the queue's time target. 11. Coverage includes a pressured refund, an account takeover attempt, a complaint about a refusal and a vulnerable caller. 12. Incident drill completed.

Sign-off 13. Assessor sign-off; no missed red line. 14. Approval limits recorded for refunds and credits. 15. Renewal date set in the register.

Worked example

An illustrative broadband provider's contact centre takes on Sample Reviewer N. The agent handles chat and email, applies credits up to 25 within bounds, and holds refunds over 25 and any change of email or phone number after a failed security question.

On his second shift, his buddy holds a request from a chat customer who failed a security question, then asked to change the account email and refund a recent bill to a new card. The buddy refuses both and calls the account holder on the number on file; the real customer had not made the request. Sample Reviewer N records it under item 7 as well, because the caller had sounded rushed and insistent.

His practicum runs over two quiet weeks: 110 held actions, one missed time target and no missed red lines. He takes part in a drill on the agent's certificate lapsing during the evening shift, using the format in how to run an AI agent incident drill for the contact centre. Sign-off gives him refunds up to 150.

Where the Academy fits

Pryme Intelligence Academy provides items 8, 9 and 13. Lessons can be listened to as audio, which suits shift workers, and module tests are set in the learner's own industry and role. A team admin view shows each reviewer's progress, results and certificate expiry, so the contact centre manager can check a shift's cover at a glance.

Questions people ask

How do you train for speed without sacrificing accuracy?

Assess accuracy first, then speed. During the practicum, a missed time target is noted; a missed red line fails it. Speed improves with practice; habits of approving to clear the queue are hard to undo.

What should contact centre reviewers learn from other teams?

How onboarding and risk teams handle identity and fraud. The reviewer onboarding checklist for the onboarding team and the reviewer onboarding checklist for the risk team both cover cases contact centre reviewers meet.

Where does the teaching method come from?

The day-to-day method for teaching review is set out in how to train the contact centre to review AI agent decisions.

Train the people who run your agents.

Pryme Intelligence Academy: free courses on the real product, audio lessons, labs in a free workspace, and certificates anyone can check on VerifyDoc.ai. Teams get seats, an admin view and a free readiness assessment.