PLATFORM / EXTRACTING DATA
PDF, Word, Excel, CSV, XML, a scan or a photo taken in a car. Whatever the file, the values end up in your system, checked against what you already know on the way in, instead of typed across and hoped about.
WHAT YOU CAN THROW AT IT
Nobody asks your suppliers or your own people to change how they send things. The tidy file and the awkward one are the same job.
WHY THAT ONE FIELD STOPPED IT
Every tool claims it validates. Here is what it actually compares, against your data, not against itself. Which checks run is agreed before anything goes live.
HOW YOU KNOW IT IS RIGHT
Not a demo on three clean examples. You confirm the correct answer on a real batch of your own files, including the ugly ones, and the platform scores itself against that, field by field. Below the agreed number, it does not go live.
WHERE THE DATA ENDS UP
The result is written where the work happens, and the original file stays attached, so a year later you can still see what the number came from.
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{{ l.m }}THE LIMITS
If the company on the file is not one it can identify, it does not create a record and does not pick the closest name. Guessing identity is how duplicate customers are born.
A field the file simply does not carry comes back empty and says so. It is never filled with a plausible value so the record looks complete.
No accuracy number, no live writing. That is a gate in the platform, not a promise made on a call.