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Document Intelligence

Turn paperwork into validated records.

Receive PDFs, scans, photos and handwritten documents, extract the fields you need, check them against your records and send only the exceptions to a person.

Fictional logistics administrator with handwritten delivery notes whose details rise as purple data points into a records table.

Where Document Intelligence helps

Document workflows pay off where the same types of paperwork arrive every day and someone currently re-keys or checks them by hand.

Extract and validate

Read the required fields, including handwriting where legible, and check them against expected values and the matching order.

Read the DONE Deliveries story

Review exceptions

Missing signatures, unclear fields or mismatches go to a review queue with the document image and the proposed values.

Human review

Example sequence

How a document becomes a record

An example proof-of-delivery document. Fictional data; fields, checks and approvals are agreed for each implementation.

  1. Receive

    A driver photographs a signed delivery note and submits it through the agreed channel.

  2. Classify and extract

    The document type is identified and the reference, date, consignee and signature are read.

  3. Check and match

    Values are compared with the order in the transport system and expected formats.

  4. Approve or review

    Matching records are passed on. A missing signature is queued for a person to check.

Human review

Uncertain results are held for review

Each workflow defines which fields are required, what counts as a match and which cases always need a person.

  • Show the original image beside the extracted values during review.
  • Hold a record when a required field is missing or unclear.
  • Write only approved values to the next system.
  • Track exception reasons so recurring problems can be fixed at the source.
Human review
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Customer Story / Logistics

From handwritten driver documents to verified client-ready PODs

Read Story

98.5%successfully processed

Common questions

Often, yes, when the handwriting is legible and the expected fields are known. We test with your real documents during scoping and route unclear fields to review.

Recurring business documents with a predictable purpose, such as delivery notes, CMRs, orders, invoices and forms. Layouts can vary.

To the system agreed for the workflow, such as a TMS, ERP, spreadsheet or customer portal, once checks or a reviewer have approved it.

We choose the model and provider for each task during scoping, based on the language, accuracy, latency and data-handling requirements. The workflow is not tied to one provider, so a step can be changed later if the agreed requirements change.

Discovery call

Start with the work that slows you down.

Bring us a process, a recurring enquiry or a pile of documents. We will explore where agents fit and what a useful implementation needs.

Book a discovery call