Think of it as data entry turned inside out. In a logistics firm, the agent reads delivery notes and proofs of delivery and posts the records. As a reviewer, you handle what it cannot post: documents that disagree, fields it cannot read, master data changes and anything that looks wrong. You decide which source is right and write down why.
What reaches you instead of a stack of paper?
The agent posts clean records at depth 3 once certified on the firm's own documents. It holds:
- Mismatches: the delivery note says 18 pallets, the booking says 20.
- Unreadable or partial documents: a smudged signature, a missing page, a photo taken at an angle.
- Unknown references: a consignment number that matches nothing in the system.
- Master data changes: new delivery addresses, new customer accounts, changed contact details.
- Bank detail changes for hauliers or suppliers, usually by email.
- Duplicates: the same proof of delivery uploaded twice.
What does your day look like?
Take a reviewer we will call Pawel, who keyed delivery paperwork at a freight and warehousing company for six years.
At the start of his shift he has seventy held items. Forty are pallet count mismatches. For each, he checks the warehouse scan (sealed, from the system of record), the driver's handwritten note (declared) and the booking. Most are short shipments the scan confirms; he updates the record and notes the reason. A few are driver errors; he corrects them.
Next come unknown references. Several share a prefix from a new customer that was set up last week under a slightly different code. Pawel spots the pattern, asks the data owner to fix the mapping, and the agent stops holding them.
Then a "haulier" emails asking to update its bank account. The agent refused to act, because an external claim cannot change payment details. Pawel passes it to finance for a call-back check on a known number.
Which calls are yours?
| Held item | You decide | You pass on |
|---|---|---|
| Count or weight mismatch | Which source is right, with a reason | Disputes with customers |
| Unreadable document | Request a re-scan or call the depot | None |
| Unknown reference | Match it or create a query | New customer set-up |
| Master data change | Check it against the request trail | Anything without a clear source |
| Bank detail change | Nothing | Always to finance |
What goes into the record?
Each decision is filed with its reason in an append-only record. "Corrected to 18 pallets: warehouse scan at gate shows 18; driver note illegible" is a good reason. Your reasons help the analyst improve the agent's rules and help customer service settle disputes later.
What carries over, and what is new?
Carries over: accuracy, knowledge of the documents and systems, and the eye for something that does not fit.
New: almost no keying. You decide which source to trust, using provenance labels. You write a reason for every decision. You report patterns so the agent's rules change. And your measure becomes the accuracy of decisions, not records per hour.
That shift suits careful people. If you liked finding the odd error in a stack of paperwork, you will probably like this.
Moving from data entry clerk to AI agent reviewer explains how to make the move, and the cover letter for a data entry clerk applying for AI operations jobs helps with applications. Compare the job for a former accounts payable clerk. Some reviewers later move into AI operations analyst work. See AI agent jobs and careers for the wider picture.
Where the Academy fits
Pryme Intelligence Academy's Foundations track is a sensible start: free, about four hours, covering provenance, the decision chain and why agents hold work. The Operator track then trains the queue itself. If your employer does not use Pryme, the two-week practicum runs on a simulated queue in a free workspace, and the certificate shows real decisions employers can check.
Questions people ask
Do I need new technical skills?
A few. You need to read provenance labels, use the workspace and write clear reasons. Most of the knowledge you need is what you already have about the documents.
Is there still work if documents become fully digital?
Digital documents still disagree with each other. Mismatches, changes and exceptions continue whatever the format.
Can I review from home?
Often, since the work happens in a workspace. Some firms keep reviewers on site to check with the warehouse directly.