From 2 Days to 2 Hours: Invoice Processing Automated

Analysis and Process Mapping

In the first step, we analyzed the company's entire invoice workflow. We identified the critical bottlenecks: manual data entry, missing validation rules, and a time-consuming reconciliation with the ERP system. Together with the finance team, we defined clear automation goals and measurable KPIs.

AI-Based OCR and Validation

We implemented an AI-powered OCR solution that automatically recognizes invoices in various formats (PDF, XML, scanned documents, e-invoices) and extracts the relevant data. A multi-stage validation system checks the extracted data against master data, purchase orders, and historical patterns. Deviations are automatically flagged and routed for manual review.

ERP Integration and Pilot Phase

The solution was seamlessly integrated into the existing ERP system. During a four-week pilot phase, we processed 100 invoices automatically in parallel with the existing process. The results exceeded expectations: the error rate dropped from 5% to below 0.2%.

Scaling and Optimization

After the successful pilot phase, we scaled the solution to the entire invoice volume. Through continuous machine learning, recognition accuracy improves with every processed invoice. The finance team now uses the time gained for strategic tasks such as cash flow analysis and budget planning.