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Your compliance team should not be a data-entry team
Passports, trade licences, certificates of incorporation, ownership declarations. Every onboarding buries an analyst under documents whose contents are typed by hand into a form, one field at a time. It is slow, it is error prone, and every typo becomes a compliance risk nobody can see.
· 2 MIN READ · BY THE KYCK DESK
A typo is a compliance risk you cannot see
A wrong digit in a registration number does not announce itself. The file looks complete, the counterparty is approved, and the error sits there until a screening run misses a match or an auditor compares the form with the certificate. Hand entry does not only cost time. It produces mistakes that look, months later, like carelessness or worse.
The information was never missing. It was printed on the document the counterparty uploaded. The work that adds no value is copying it from one place to another.
What gets read for you
- Names, dates of birth, nationalities, document numbers and expiry dates from passports and identity documents.
- Legal name, registration or licence number and dates from trade licences, certificates of incorporation and registry extracts.
- The same fields from a clean PDF or from a scan, in one flow rather than a separate process for each.
- Each extracted value linked to the page it came from, so a reviewer can check it against the source.
The values fill the form instead of being typed, and the reviewer confirms them. AI document extraction is part of every KYCK plan.
What is caught before it reaches a reviewer
Reading a document also means reading its dates. Once an expiry date has been extracted, the document is tracked against it: a passport or licence that has lapsed is marked expired, and one inside its last thirty days is marked as expiring soon.
A form cannot be submitted with its required fields empty, so an incomplete file is stopped at the counterparty rather than discovered by the analyst. And where the counterparty typed a legal name that differs from what the document says, the typed name stays and the extracted value appears beside the field as a suggestion. The difference is put in front of a person. It is never settled silently by the software.
What stays with the analyst
Extraction reads what a document says. It does not certify that the document is genuine, and it does not decide whether an ownership structure makes sense. Those are judgment calls, and they are the reason a compliance team exists. Taking the keystrokes away gives that time back: to the owner who appears three layers up, the director with a match that needs a second look, the licensed activity that does not fit the trade.
Faster onboarding, fewer errors and a cleaner audit trail follow from that. For the time cost of manual review, see forty minutes per trade licence. For how the documents feed the rest of the file, see counterparty onboarding.
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