A scoped use case, not a strategy deck
We pick the one workflow where the volume is high and the errors are visible, and prove it there before touching anything else.
Language models are excellent at reading messy documents and terrible at being trusted without measurement. We ship the measurement with the feature.
We pick the one workflow where the volume is high and the errors are visible, and prove it there before touching anything else.
A labelled reference set and a scored run on every change. If accuracy drops, you know before your customers do.
Extracted fields show their source. Review is one click, correction is one click, and every correction improves the reference set.
Token budgets per document type, caching where the input repeats, and a monthly ceiling agreed before launch.
To the model provider you approve, under their enterprise terms, or to a model we host for you when the data cannot leave the country. We put this in writing before the first request is made.
It will be, sometimes. That is why nothing ships without a review step and a measured accuracy number for the specific documents you handle.
Usually yes — as a service alongside it rather than a rewrite. The integration point is normally a queue and a review screen.
Visit history, prescriptions and billing live in one record with a full audit trail.
Document intake dropped from twenty minutes to under two.
A short description of the problem is enough to start. We reply within one working day, and the first conversation is free.