An export L/C pre-check you cannot trust is worse than no pre-check at all.

Miss discrepancies and you present with false confidence. Flag phantom ones and your team spends more time investigating problems that are not there. Either way, you are back to a document specialist doing the whole job by hand, now with an extra tool to argue with.

The two ways an automated check fails

An examination tool can be wrong in two directions, and both are expensive.

  • It misses a real discrepancy. The team trusts the green light, presents, and gets a refusal. Worse than no tool, because the tool replaced the human check that would have caught it.
  • It flags something that is not a discrepancy. Each phantom finding costs an examiner's time to investigate and dismiss. After a few dozen of those, the team stops reading the findings, and the tool is switched off in practice if not in name.

A tool that is right 90% of the time sounds impressive until you realise that on a 40-document presentation with hundreds of checks, 10% wrong is dozens of findings to argue with per credit.

The standard we hold ourselves to

So we hold Validator to a hard standard: 99% pre-check accuracy, measured on live transactions, not demos. It is pre-trained on UCP 600, eUCP and ISBP 821E, and on the exporter's own data. It is tested across thousands of live L/C examinations, and the measurement continues on every client's live presentations, because a number from a benchmark set tells you very little about a number from your corridor.

What the number buys

The payoff is what the number lets your team do: act on the output without re-checking it. That is the whole point. When a documentation team can present on Validator's clean result, and route only its findings to a person, examination effort drops. Our clients cut examination effort by around 60 percent and fully automate low-value presentations, the routine credits on familiar corridors that used to consume most of the day.

Every finding also carries a decision trace to the rule or practice behind it, so on the rare occasion the tool is wrong, the examiner can see exactly why and correct it in seconds. That trace is what turns 99% into something a team can operate on rather than a number on a slide.

Key takeaways

  • Both misses and phantom findings destroy the value of an automated pre-check.
  • 99% accuracy, measured on live transactions, is the threshold at which a team can act without re-checking.
  • Accuracy is not a feature. It is the product.

Book a demo and we will run a full pre-check on one of your recent presentations, or try Validator for free, no credit card required.

Frequently asked questions

How is 99% pre-check accuracy measured?

On live client transactions, not demo data: Validator's findings on each presentation are compared with the outcome at the bank and the documentation team's review, across thousands of L/C examinations.

Why does a pre-check need to be so accurate?

Because the value of automation is acting on the output without re-checking it. If a team has to verify every finding, the automation has saved nothing.

See Validator on one of your own letters of credit

Loamist Validator reads an export L/C the day it arrives, flags the terms that cannot be met, drafts the documents from the credit, and pre-checks the full set against UCP 600, eUCP and ISBP 821E before the bank sees it.

Run a free workability check on a recent L/C, or book a demo and we will walk through a live decision trace.