Document intelligence

Get useful data out of difficult documents.

Extract fields and tables, validate totals and route uncertain records to review with the source attached.

Talk to usExplore service
From document to reviewed recordExample workflow
Supplier
Matched against the supplier register
Invoice reference
Checked for an existing record
Tax and totals
Reconciled before accounting export

AI, data & automation

A reliable record starts with a reviewable field.

Document intake

Handle document types, duplicate files, extraction limits and the source record associated with each upload.

Field validation

Check extracted values against required formats and business rules before they reach downstream systems.

Reviewer workflow

Route uncertain fields with the relevant source passage so a person can correct the result in context.

Asynchronous processing

Keep uploads responsive while long extraction tasks run in a queue with visible progress.

Source retention

Associate results with the source version and apply the agreed retention rules to both.

Downstream delivery

Submit validated values through explicit contracts and reconcile the resulting business record.

Extraction is not the same as validation

The fragile approach

Copy a model response into the system

An incorrect value becomes an apparently valid record, with no source available to the reviewer.

The intended approach

Validate the record before release

Preserve the document reference, highlight exceptions and export only after the required checks and approvals.

An implementation example

Extraction needs a review path

Scanned invoices, forms and correspondence rarely arrive in one reliable format. Connect every extracted value to its source, validate it against business rules and give uncertain fields a clear owner.

From document to reviewed record

An accounts team extracts totals and line items from supplier documents in varied Australian invoice formats.

A failure to account for

The extractor confuses a subtotal with the payable total.

Illustrative scenario, not a customer case study.

Prepare the conversation

What needs attention in your system?

Select the areas you want to discuss. Download the list to share with your team.

Handle document types, duplicate files, extraction limits and the source record associated with each upload.

Check extracted values against required formats and business rules before they reach downstream systems.

Route uncertain fields with the relevant source passage so a person can correct the result in context.

Keep uploads responsive while long extraction tasks run in a queue with visible progress.

Associate results with the source version and apply the agreed retention rules to both.

Submit validated values through explicit contracts and reconcile the resulting business record.

0 areas selected

No. Agree which validated cases may proceed automatically and which exceptions require a reviewer. Use field-level evidence rather than one confidence score for the entire document.