Pattern P01 · engagement pattern
A person reads a document and types what it says into a system, every day.
The problem
This is the single most common shape of work we are asked about, and it is rarely described as an AI problem when it arrives. It is described as being short-staffed.
The cost is not only the typing. It is the delay between a document arriving and the business knowing about it, the errors that are found long after the fact, and the fact that the knowledge of how to read these documents lives in one person's head.
The approach
In order: each step informs the next.
We watch the actual task before designing anything — which fields matter, which are ignored, what a difficult document looks like, and what they do when something is ambiguous. That last one becomes the review rule.
We take a sample of real documents, including the awkward ones, and label the correct answer. Nothing goes to production until it scores acceptably against that set, and the set stays as the regression test.
Documents are read into typed fields and written to the system of record. Anything the model is not confident about stops in a review queue instead of being written and quietly being wrong.
Every correction a reviewer makes is captured as a new evaluation case, so the queue gets shorter over time rather than staying constant.
The outcome
Documents arriving as structured records in your system
A review queue for the uncertain minority, with the source page attached
A measured accuracy figure on your own documents
A count of what arrived — which usually did not exist before
Deliberately no percentages. What a change is worth depends on your volumes and costs; we work that out with you against your own numbers.
Practices involved
Also
Tell us how this shows up in your business. The first conversation is free, and we will say so if it is not worth fixing.