How a 12-Person Accounting Firm Automated 60% of Data Entry

The firm's 12-person team was spending roughly 40% of their time on manual data entry — keying in numbers from client invoices, receipts, bank statements, and tax documents. With 150 small business clients generating 8,000-12,000 documents monthly, the process consumed approximately 400-600 hours per month across the team. The managing partner put it bluntly: the firm's most experienced bookkeepers were spending their days typing numbers from one screen to another.

• Implemented AI-powered document extraction using trained models that identify vendor names, invoice numbers, dates, line items, amounts, and tax information from scanned documents.
• Built an automated email monitoring system that pulls attachments and uploads them to a processing queue, eliminating manual document collection.
• Designed a human-in-the-loop review interface where bookkeepers verify the AI's extraction and approve imports with one click — maintaining the accuracy standards an accounting firm requires.
• Created a learning feedback loop: every correction feeds back to improve future extraction accuracy. Within 6 weeks, review became a 5-second glance rather than a careful cross-check.