A pile of scans nobody can keep up with.
Thousands of documents checked automatically.
We read scanned documents, compare them against your database, and flag discrepancies. People only handle the disputed cases.
What do we automate?
OCR reads the scans, extraction pulls the fields, comparison against the database finds discrepancies and flags them for review automatically. We keep manual work only where it is genuinely needed.
OCR of scanned documents
We read delivery notes, declarations, and other scanned documents, even when their quality varies.
Data extraction
From each document we pull the fields that need checking into a structured form.
Comparison against the database
We match the extracted data against your database and find what agrees and what does not.
Flagging discrepancies
We flag discrepancies for manual review, so people only handle the disputed cases.
How does it work?
Intake
We take in the scanned documents from each subject
OCR and extraction
We read the text and pull the needed fields
Comparison
We compare the data against the database
Follow-up
Flagged discrepancies go to manual review
Document control during call drawdown
How we saved the work of about five people over three months during an audit of a call drawdown.
Read full case studyReady to save time?
During an audit of a call drawdown at a ministry this saved the work of about five people over three months. Write to us if you deal with a similar volume of documents.
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