ICE Felix
AI AutomationAccounting & Finance

AI Invoice Processing for Accounting Firm

Mid-Size Accounting Firm

AI Invoice Processing for Accounting Firm

The Challenge

The firm processed over 2,000 invoices monthly for their 80+ clients. Each invoice was manually opened, read, and entered into the accounting system -- a process taking 8-12 minutes per invoice. Two full-time employees spent their entire day on data entry, errors crept in during busy periods, and month-end closings regularly pushed into overtime.

Our Approach

We built an AI-powered invoice extraction pipeline that reads invoices from email attachments and scanned PDFs. The system identifies vendor, line items, amounts, VAT rates, and payment terms with 97% accuracy. Extracted data is validated against client-specific rules and pushed directly into the accounting software. Flagged exceptions go to a human review queue with the AI's suggested corrections highlighted.

The Results

85% reduction

in manual data entry time

Processing time

per invoice: from 10 minutes to 45 seconds

Error rate

dropped from 4.2% to 0.3%

2

employees reassigned to advisory work

Technologies Used

PythonOpenAI GPT-4OCR (Tesseract)FastAPIPostgreSQLRabbitMQ

We were drowning in invoices every month-end. Now the AI handles the heavy lifting and our team focuses on what actually matters -- advising clients. The accuracy is better than manual entry ever was.

MP

Managing Partner

Accounting Firm, Bucharest

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