Per document
Processing drops from several minutes to a few seconds, including on poor-quality scans.
AI MODULE 05
Your invoices, purchase orders and contracts key themselves in.
We put in place a pipeline that reads your inbound documents — PDFs, scans, photos taken in the field — extracts the fields that matter and pushes them into your system. What is certain goes straight through; what is doubtful goes to a review queue with the doubt flagged. Nobody re-checks a thousand documents to catch three.
Processing drops from several minutes to a few seconds, including on poor-quality scans.
The system reports its confidence per field. Your teams only check what deserves a human eye.
A supplier changes their template without warning? Extraction keeps working, with no reconfiguration.
We take a representative batch, including creased, badly scanned or handwritten documents, to measure the rate that is genuinely achievable.
Setting up intake, extraction and writing into your system, along with the review queue.
For a few weeks the old process continues alongside. We compare results before switching off manual entry.
Tracking the automation rate, handling new formats and improving the least reliable fields.
Indicative timelines, tied to the variety of your documents. A single invoice type goes much faster than twelve mixed types.
We will not quote a figure before seeing your documents: it depends entirely on their quality and variety. The sampling phase exists precisely to give you a number measured on your own files, before you commit.
Financial fields are configured with a high confidence threshold: below it, the document always goes to human review. Consistency checks — total matching the sum of lines, plausible taxes — also block anomalies.
Partially, and honestly this is the hardest case. The initial sample settles it: sometimes the gain is real, sometimes we will tell you human entry remains faster.
Depending on your requirements, the whole pipeline can run on your own infrastructure. Personal-information obligations are built into the scoping, not bolted on afterwards.
Send us a sample of your documents: we measure the achievable automation rate before any commitment.
The other AI modules