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Automation / Back Office

Business Automation System

Document intake, extraction and routing that removes hours of manual processing every week.

Concept workPythonOCRQueuesAWS
Interface composition — not a product screenshot.

The challenge

Back-office teams retype the same fields from invoices, forms and delivery notes into the same systems every day. It is slow, it is error-prone, and it is the kind of work that quietly caps how much a business can take on.

Our approach

A concept study in automation that admits uncertainty. The pipeline extracts what it is confident about and routes the rest to a person, with the document and the extracted field side by side — because an automation that silently guesses is a liability, and one that asks for help on the hard 10% is an asset.

The constraints

Extraction is never fully reliable, and pretending otherwise is how automation projects fail. The constraint was that the system must never silently guess: anything below its confidence threshold has to reach a person, with the source document beside it.

What we built

  • Intake from email, upload and watched folders into one queue
  • OCR and structured extraction with a confidence score on every field
  • A review surface pairing the source document with the extracted values
  • Rule-based routing to the right system or approver once a document clears review
  • Full processing history, so any figure can be traced back to its document

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