Within SAP ERP systems, large-scale enterprise environments grapple with financial transaction reconciliation along with compliance monitoring as some of the most intricate and error-prone processes. This research examines automating reconciliation processes augmented with real-time compliance monitoring through the integration of RPA into SAP S/4 HANA. We construct an exception-based RPA framework that processes autonomously accounts receivable, accounts payable and general ledger and bank statement transactions. With enterprise datasets that include payment logs, journals, and audit trails, our system integrates modular RPA workflows to SAP ERP triggers—reducing reconciliation cycle times by 63%, manual interventions by 48%, and compliance flag detections by 72%—with payment logs, journal entries, and audit trails. A domain-specific multi-criteria performance evaluation on reconciliation accuracy, exception handling efficiency, traceability, governance, and alignment agility is introduced alongside the results. The results highlight that transparency, reliability, and scalability of financial operations is enhanced substantially with RPA, proving it provides a forward-looking approach to intelligent ERP automation in compliance-driven SAP environments.
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