A multinational retail chain ran its Procure-to-Pay process largely by hand invoice processing, purchase order matching, and payment approvals all depended on manual effort from the finance team. This didn’t scale, and it introduced risk at every step.
• High volume of invoices across varying formats
• Time consuming three-way matching of POs, goods receipts, and invoices
• Duplicate payments and compliance gaps from manual data entry errors
• Delayed vendor payments, straining supplier relationships
No end-to-end visibility into the P2P workflow, making bottlenecks hard to spot or fix
Aiwozo deployed agentic AI across the full P2P cycle from invoice capture through to ERP entry and reporting.
Capture agents, powered by DocuBot’s AI-driven ICR, digitized invoice data and extracted key fields invoice number, PO details, payment terms with high accuracy from the start, continuously refined using historical and real time data.
Matching agents performed automated three way matching, cross referencing purchase orders, goods receipts, and invoices, and flagging discrepancies for human review rather than letting them pass through unchecked.
Entry agents took verified data and entered it directly into the client’s ERP system, minimizing manual intervention at the final step.
Exception handling routed unresolved discrepancies to the finance team, and once resolved, those corrections fed back into the AI models sharpening accuracy for the next invoice batch.
Real-time dashboards gave the client full visibility into the P2P workflow, letting them track invoices, monitor vendor payments, and generate compliance reports without manual compilation.
Key business and operational challenges that limited performance, scalability, and governance before automation was introduced.
