We implemented custom ABAP BAdI validation for our billing workflow in SAP S/4HANA 2020 and achieved remarkable results. Before automation, our accounts payable team was drowning in invoice errors-wrong tax calculations, duplicate entries, missing purchase order references. Manual validation was taking 3-4 days per batch.
We developed a custom BAdI implementation for the invoice release workflow that validates invoices against predefined business rules before they hit the approval queue. The BAdI checks PO matching, tax code validity, vendor master data consistency, and duplicate invoice numbers.
After six months in production, we’ve reduced invoice errors from 23% to just 3%-an 87% reduction. Processing time dropped from 3-4 days to same-day release for 95% of invoices. The finance team now focuses on exception handling rather than routine validation. Our implementation has become a template for other business units looking to automate their billing processes.
We actually evaluated BRFplus but went with BAdI because our validation logic required deep integration with custom Z-tables and third-party vendor scoring systems. However, we did build a configuration layer using customizing tables where business users can adjust thresholds, enable/disable specific checks, and maintain vendor-specific rules without touching ABAP code. Critical logic stays in BAdI for performance, but business parameters are externalized. Rule changes that don’t require code modifications can be done by power users through SM30 table maintenance.
This is impressive! Which specific BAdI did you implement? We’re looking at INVOICE_UPDATE or MRM_HEADER_CHECK for similar validation. Did you face any performance issues with real-time validation during invoice posting? Our concern is that complex validation logic might slow down the MM invoice entry transactions, especially during month-end when volume spikes. How did you handle the balance between thorough validation and system performance?
We used MRM_HEADER_CHECK BAdI which triggers during MIRO transaction. Performance was definitely a concern initially. Our validation runs in under 200ms per invoice by using buffered reads for master data and implementing early exit logic-if critical validations fail, we skip secondary checks. During month-end peaks, we haven’t seen any noticeable slowdown. The key was optimizing database calls and avoiding nested selects in the BAdI implementation.