This global company processes thousands of financial transactions daily—from billing customers to paying suppliers and closing the books. Manual, document-heavy processes in Order to Cash (O2C) and Procure to Pay (P2P) cycles created significant bottlenecks.

Orders arrived in countless formats (emails, PDFs, scanned documents), forcing staff to manually validate line by line. Supplier invoices varied in quality, often missing embedded text, requiring rechecks of amounts, tax references, and payment terms. Each case took 10+ minutes of cross-referencing, with errors leading to delays and clarification loops.

The organization tested RPA, UiPath, Microsoft Power Automate, and GPT-based AI frameworks—none scaled. Scripts broke on format changes, outputs were unreliable for production, and validation layers multiplied rather than reduced workload. The result: backlogs, delayed revenue recognition, late supplier payments, and operational ceilings that risked limiting growth.