AI in Trade Finance: Checking Documents Against Letters of Credit

Why document examination is slow and unforgiving

Letters of credit are governed by the International Chamber of Commerce's Uniform Customs and Practice for Documentary Credits, UCP 600. A bank has a maximum of five banking days after presentation to decide whether the documents comply. Examination is strictly on the face of the documents, and the standard applied is international standard banking practice, set out in the ICC's ISBP 821.

The work demands expertise. Examiners must know which differences matter and how each document type is treated under the specific conditions of a credit. A single presentation can extend to dozens of pages, many of them scanned, some partly handwritten. Volumes rise and fall with trade cycles, and experienced examiners are scarce.

Errors are costly in both directions. Missing a genuine discrepancy can leave the bank paying against non-compliant documents. Raising a discrepancy that is not one delays payment and generates fees and correspondence that nobody needed.

Extracting and comparing every field

AI reads each document in the presentation and extracts the fields that matter: parties, goods description, quantities, amounts, ports, dates and references. It then performs two comparisons. Each document is checked against the terms of the credit, including the documents required and any additional conditions. Every document is also checked against every other, because data across documents need not be identical but must not conflict.

The output is a proposed examination: each potential discrepancy listed with the document, the field, the credit term it relates to and the exact text involved. The same pass can screen parties and vessels against sanctions lists and flag patterns associated with trade-based money laundering, such as goods descriptions that fit oddly with the declared value.

The position: the examiner decides

The rules of documentary credits are full of nuance, and the nuance is where errors arise. Different documents are held to different standards. The examiner's judgement, informed by years of practice, is what the bank's decision ultimately rests on, and the system should be designed to strengthen it.

In practice, that means the AI proposes and the examiner decides. Every flagged item is confirmed or dismissed by a person, with a reason recorded. Items the AI clears are sampled for review, so the bank knows how often the system misses something. A rubric-based evaluation engine such as PRISM supports this pattern, checking each document against defined criteria and recording the evidence behind every finding for the examiner to weigh.

The discrepancy that was not one

A bank piloted AI-assisted examination on its export letters of credit. In the second week, the system flagged the bill of lading in a presentation because its goods description read "cotton garments", while the credit described the goods in detail by style and fabric. A newly trained examiner, working from the flag, drafted a refusal notice.

A senior examiner reviewing the draft stopped it. Under UCP 600, only the commercial invoice must describe the goods in a way that corresponds with the credit. In other documents, the description may be in general terms, provided it does not conflict. "Cotton garments" was a general description consistent with the credit, and the presentation complied.

The bank encoded document-specific matching standards into the rules, so the goods description on a bill of lading or insurance certificate is tested for conflict instead of correspondence. Flags now cite the rule they rely on, and any proposed refusal requires a senior examiner's sign-off during the first year of operation.

The exporter in Tiruppur needs a fast answer, and the bank needs that answer to be right. AI can read and compare every field in a presentation in minutes, leaving examiners to apply judgement where the rules require it. A head of trade operations should ask whether the system's checks reflect the different standards UCP 600 applies to each document. A system that does, with an examiner deciding every exception, delivers outcomes that survive scrutiny.