Technology partners

Documents in,clean data out.

We turn invoices, contracts, claims and forms into structured data in your systems, with a person checking the cases the software is unsure of.

01Who it is for

The problems we are usually called about.

Finance, claims, operations and logistics teams who receive documents in volume and re-key their contents into another system.

  • People typing what they can already read

    Invoices, forms and claims are opened, read and keyed in by hand.

  • Errors found too late

    A mistyped amount or date surfaces weeks later as a dispute.

  • Every supplier has a different layout

    Template-based tools break whenever a document looks slightly different.

  • Backlogs at month end

    Volume peaks exactly when the team has least time.

02What we do

Read, checked, delivered.

  • Extraction

    Fields, tables and clauses read from scans, PDFs and emails.

  • Validation

    Totals, dates and references checked against your rules and master data.

  • Review queue

    Low-confidence items sent to a person, with the document beside the data.

  • Delivery

    Clean records pushed into your ERP, claims or accounting system.

03How it runs

Step by step.

  • 01

    Scoping call

    We choose a document type and agree the fields, rules and target system.

  • 02

    Sample and measure

    We run a sample of your real documents and measure accuracy field by field.

  • 03

    Build the pipeline

    Extraction, validation against your rules and delivery into your system are built and tested.

  • 04

    Review queue

    Low-confidence items go to a person, who sees the document beside the extracted data.

  • 05

    Go live and extend

    The first document type goes into production, then others follow the same pattern.

04What you get

Delivered, documented, yours.

  • Measured accuracy

    Per field, on your own documents.

  • Less manual keying

    With people focused on exceptions.

  • A full trail

    From each record back to the page it came from.

Tools we work with

Your stack, not ours

OpenAI and Claude models, or privately hosted ones, through your own accounts. Results are delivered into your ERP, claims or accounting system through its normal interfaces, and source documents stay in your environment.

From our work

Account reconciliation platform

A month-end reconciliation platform for a finance team moving off spreadsheets. AI proposes the transaction matches; people review and sign off.

Close dashboard of a reconciliation platform showing certified reconciliations, exceptions and auto-match rate

Questions

What clients ask first.

How accurate is it?

We measure accuracy per field on your own documents before you rely on it, and report it continuously afterwards. Fields the system is unsure of go to a person.

Does it need a template for each supplier?

No. Modern models read varied layouts without one, which is the main advantage over older tools.

Can it read scans and handwriting?

Scans, photos and PDFs, yes. Handwriting is possible but less reliable, so we route it for review.

What if a document is wrong, not just hard to read?

Validation rules catch totals that do not add up, unknown suppliers and mismatched references, and flag them.

Can we trace a record back to its document?

Yes. Every extracted value links to the page and position it came from.

Do our documents leave our environment?

No. Processing runs inside your environment, and models are called through your own accounts under your agreements.

Tell us what you run.

Thirty minutes with an engineer. You leave with a clear scope, a timeline and a recommended approach.

Book a scoping call