The Challenge

The client, a global manufacturing enterprise, faced manual invoice processing bottlenecks in its P2P cycle:

• Invoices arrived via email or scanned PDFs, requiring manual entry into ERP.

• Three‑way matching (PO, GRN, Invoice) was performed manually, leading to delays and mismatches.

• Payment approvals were slow, impacting vendor relationships.

• Reporting was fragmented, with limited visibility into cycle times, exceptions, and compliance.

With 15 FTEs dedicated to invoice handling, average processing time per invoice was 25 minutes, and error rates exceeded 8–10%, causing SLA breaches and late payments.

Our Strategy

We designed a RPA + OCR automation solution to streamline invoice capture, validation, and payment execution while embedding analytics for leadership visibility.

Ingestion and OCR

• Unified intake: Invoices captured from email, scanned PDFs, and EDI feeds.

• OCR extraction: ABBYY FlexiCapture extracted key fields (vendor ID, PO number, invoice amount, tax details).

• Validation: Automated checks for missing or invalid fields, with prompts for supplier correction.

  
  

RPA‑Driven Processing

• Blue Prism bots performed three‑way matching against ERP (PO, GRN, Invoice).

• Exception handling: Non‑matching invoices routed to finance analysts for review.

• Payment orchestration: Approved invoices triggered automated payment runs in ERP.

• Audit logging: Every transaction logged for compliance and traceability.

Analytics & Dashboards

• Power BI dashboards refreshed automatically, showing KPIs:

• Average processing time per invoice

• % of invoices auto‑processed vs. exceptions

• Payment cycle times

• Vendor SLA adherence

• Error rates and savings achieved

Outcomes & Benefits

• 65–75% reduction in manual effort through OCR + RPA automation.

• Invoice processing time cut from 25 minutes to 7–10 minutes.

• Error rate reduced to <2%, improving compliance and vendor trust.

• FTE redeployment: Finance staff shifted from repetitive entry to exception handling and vendor relationship management.

• Improved visibility: Leadership gained real time insights into P2P performance, enabling proactive vendor negotiations.

• Cost savings: Operational cost per invoice reduced by ~40%, with scalability for future growth.

Conclusion

The AI‑Powered Invoice Automation and RPA‑Orchestrated P2P solution transformed the client’s finance operations from a manual, error‑prone process into a scalable, auditable, and insight‑driven system. The result: faster invoice processing, stronger vendor relationships, reduced costs, and a finance team empowered to focus on strategic initiatives rather than repetitive tasks.