AI agents that read documents,
and people who approve the result
Contracts, invoices, certificates, delivery notes and audit reports: the agent extracts the data, checks it against your rules and marks what differs. A person confirms anything uncertain.
From an inbox of files to checked records
Each stage logs what it did, so any result can be traced back to the page and line it came from.
Intake
Files arrive from email, a shared folder, a portal or an upload form. Scans and photos go through OCR, and each file gets an ID and a source.
Extraction
The model finds the fields you need, such as parties, dates, amounts, VAT, certificate numbers or findings, and returns them in a fixed structure.
Rule checks
Code compares the data with your rules: expired dates, sums that do not add up, terms that differ from the contract, missing signatures or required clauses.
Flags with evidence
Every deviation is shown with the quote and page it came from, so the reviewer does not have to search the document.
Human approval
Uncertain and high-value cases go to a review queue. Approvals and corrections are logged and added to the test set.
Export
Checked data goes to your ERP, accounting, CRM or a spreadsheet, with a report of what was flagged and who approved it.
Estimate after a look at your documents
The work depends on how many document types and rules you have. We start with a sample of real files and give a fixed estimate, or run it as the first two weeks of a forward-deployed engagement.
How we keep the agent honest
Measured on your files
Before launch we build a test set from your documents and report accuracy per field and per rule, false alarms included. The set runs again on every change.
Data stays where it must
For confidential documents the OCR, models and storage can run on your servers. Personal data is minimised, and access and retention are configured per role.
People decide
The agent prepares and flags. Decisions with legal or financial weight stay with your staff, and the system records who approved what.
Related
Procurement and supplier management→
Supplier certificates, audit findings and corrective actions.
From demo to production→
If you already have a prototype that needs evals and monitoring.
Article: evals and human review→
How to check that an AI agent is not wrong.
Article: local AI for confidential documents→
What to run on your own hardware and what it costs.
About AI document review
Which documents take your team the most time?
Tell us the document types, the rough monthly volume and what is checked today. We reply within one business day.