Micah Jatau
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Automation case detail

Invoice automation became a test of trustworthy handoff design.

I used this workflow to apply the same principle from clinical systems to documents: extracting information is not enough. The record needs validation, duplicate checks, storage, and a review path before it can be trusted.

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InputDocuments

The source problem is repetitive document handling.

Invoices often arrive as semi-structured files that require manual reading, data entry, checking, and filing. I treated the problem as a handoff issue first, then used OCR and AI parsing only where they made that handoff cleaner.

WorkflowValidation

The system separates extraction from trust.

  1. Receive or locate invoice files for processing.
  2. Use OCR and AI parsing to extract vendor, amount, date, and invoice identifiers.
  3. Check for duplicate records before sync or notification.
  4. Write structured output to Google Sheets and Airtable.
  5. Preserve a review path for exceptions, uncertain fields, or business-rule failures.
OutcomeOperations

The output is a cleaner operational handoff.

The workflow demonstrates practical automation design: not just extracting text, but routing validated records into the systems people already use and reducing the chance of duplicate or incomplete processing.