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Example build · Workflow automation

Document processing pipeline

Invoices, contracts and forms arrive in every format and someone has to read, check and re-key each one.

01What we build

  1. 01Extraction of the fields you need from PDFs, scans and emails
  2. 02Validation rules and cross-checks against your systems
  3. 03Review queue for low-confidence documents, straight-through for the rest

Connects to

Email inboxGoogle DriveXeroNetSuitePostgres

Measured on

  • Straight-through rate
  • Field accuracy
  • Processing time
  • Exceptions per batch

02How it works

From input to outcome, step by step.

  1. 01

    Collect the documents

    Inboxes, upload folders and portals are watched, and attachments are split, de-duplicated and classified by type.

  2. 02

    Extract the fields

    Models pull the fields you need into a fixed schema, with a confidence score for every field.

  3. 03

    Validate and cross-check

    Business rules check totals, dates and IDs against your systems, such as purchase orders and the vendor list.

  4. 04

    Route the result

    Clean documents post straight into your systems. Anything uncertain goes to a review queue with the problem fields highlighted.

03Questions

Before you ask.

01What about scanned or poor-quality documents?

Scans are handled with OCR and vision models. Low-quality pages get low confidence scores and go to review instead of straight through.

02Can we audit what happened to each document?

Yes. Every document keeps a history of what was extracted, which checks ran and who approved it.

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→Next step

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