How to Optimize Bank Reconciliation in SAP with AI and Advanced Rules

Step by step

1. 1

   Understanding Native SAP Reconciliation Limitations

   Bank reconciliation in SAP (S/4HANA and Business One) is crucial, but its native capabilities can be insufficient. When faced with high transaction volumes, ambiguous descriptions, or multiple data sources, the manual or semi-automated process becomes slow and error-prone.

2. 2

   Complementing SAP with The Eye's Reconciliations

   The Eye's Reconciliations does not replace your SAP system but complements it. It uses artificial intelligence and an advanced rules engine to automate the identification and matching of items that SAP's native system cannot efficiently process. This includes managing varied descriptions and consolidating data from diverse sources.

3. 3

   Reconciliation Process with AI and Rules

   The Eye's solution processes bank statements and SAP accounting data, applying AI algorithms to learn patterns and custom rules to match transactions. This allows for a high rate of automation even in complex scenarios.

4. 4

   Returning Reconciled Items to SAP

   Once items are reconciled by The Eye's Reconciliations, the results are returned to SAP. This ensures that your primary accounting system remains updated with accurate and reconciled information, maintaining data integrity.

5. 5

   Approvals and Auditing

   The platform includes configurable approval workflows for reconciliations, ensuring all transactions are reviewed and validated before finalization. Additionally, it provides a comprehensive audit trail of every step in the process, guaranteeing traceability and regulatory compliance.