Customer support agents who review an AI agent's drafted replies and held actions need a short, practical plan: shared vocabulary in the first week, reviewer learning and shadow review over the next three, a two-week assessed practicum, then sign-off with clear limits. This checklist version lets a team lead track every person from first lesson to renewal on one page.
What is this plan for?
Support agents meet the AI agent's work more often than anyone else. It drafts replies at depth 2 for them to send, completes routine changes such as delivery date updates at depth 3, and holds anything over its bounds: refunds, compensation, identity and contact changes. A support agent may see dozens of held items an hour.
That volume is the risk. Under pressure, "review" turns into "send", and a confident draft gets through with a wrong promise or to the wrong person. Training must make good reviewing fast, not just correct. For the team lead's own plan, which builds on this one, see the training plan template for support team leads.
How do you fill it in?
Use one checklist per person. Tick each item only when its evidence exists. The team lead keeps the checklists together; together they become the team's study plan and the record of who may approve what.
The template
| No. | Item | Evidence | Date done | Checked by |
|---|---|---|---|---|
| 1 | Foundation learning completed | |||
| 2 | Reviewer modules completed | |||
| 3 | Shadow review: decides held items before a certified colleague releases | |||
| 4 | Shadow match rate reached | |||
| 5 | Identity and contact-change scenarios practised | |||
| 6 | Written exam passed | |||
| 7 | Practicum completed | |||
| 8 | Internal sign-off and limits recorded | |||
| 9 | First month sampling clean | |||
| 10 | Calibration attended | |||
| 11 | Renewal booked |
A worked example
A hypothetical online furniture retailer's support agent, Support Agent A, on the delivery and returns queue. Values are samples.
| No. | Item | Evidence | Date done | Checked by |
|---|---|---|---|---|
| 1 | Foundations, about 4 hours | Foundations badge | Week 1 | Team lead |
| 2 | Operator modules: how a governed agent decides, human review, teaching the agent, reading the workspace | Module tests set in retail customer service | Weeks 2 to 4 | Team lead |
| 3 | Shadow review on held refunds and replies | Shadow log of 60 decisions | Weeks 3 and 4 | Support Agent B |
| 4 | Match rate: 55 of 60 with B; no red line missed | Comparison sheet | Week 4 | Team lead |
| 5 | Practised: email change requested from a new address; caller pressing for a refund to a different card | Scenario notes | Week 4 | Team lead |
| 6 | Exam: 34 of 40 in 60 minutes | Exam result | Week 4 | Pryme exam |
| 7 | Practicum: two weeks of real held items; 97 in every 100 correct; no missed red line | Practicum report | Weeks 5 and 6 | Pryme assessor |
| 8 | Signed off: send drafted replies; approve goodwill up to 40; approve verified contact changes | Sign-off note; Certified Pryme Operator | Week 6 | Support manager |
| 9 | Ten approvals sampled; none overturned | Sampling record | Week 10 | Team lead |
| 10 | Calibration on delivery-damage claims | Calibration result | Week 8 | Team lead |
| 11 | Renewal booked: update module and short quiz | Booking | Month 11 | Team lead |
Item 5 is where most frontline incidents start. A person contacts support from an unfamiliar email address, passes some security questions and asks for the account email to change. The agent holds it because identity was verified only by declared information. A trained support agent asks for verification through the existing contact route before approving. Without that practice, a polite request with a plausible story gets through.
The limits in item 8 are deliberately narrow. Refunds above 40 and anything that moves money to a new destination route to the team lead. That keeps frontline work fast while depth 4 actions stay with people trained and certified for them. For the review method in a group setting, use how to run calibration sessions for customer support agents; for timing, how long it takes to train customer support agents to supervise AI agents. A neighbouring frontline role is covered in the training plan for collections agents, and team-wide order in training teams for AI agents.
Where the Academy fits
Pryme Intelligence Academy's lessons can be read or listened to as audio, with highlights and notes, which suits support agents learning between shifts. The Operator practicum in item 7 is two weeks of real review decisions signed off by a Pryme assessor, so the certificate reflects the agent's own queue, not a classroom exercise.
Questions people ask
How long before a new support agent can approve anything?
About six weeks with this plan. Until then they work in shadow, which is useful in its own right: they see the agent's drafts and learn the house style and policies faster.
Should every support agent become a certified reviewer?
In most teams, yes, because almost everyone handles held drafts. A team may keep a few people on a non-approving route, but they still need the vocabulary.
What if a support agent's sampled approvals show errors after sign-off?
Coach on the specific cases, and narrow their limits until the next sample is clean. Repeated red-line errors mean returning to shadow.