SAVI AI's GR/IR Agent syncs live data from SAP, matches every GR to invoice at line-item level, explains mismatches in plain English, and auto-clears within-tolerance items.
SAVI AI pulls live data from SAP via OData and cross-references every Goods Receipt against its corresponding invoice at the individual line-item level — catching discrepancies that batch exports and spreadsheet matching routinely miss.
When GR quantities or prices don't match the invoice, SAVI AI's Azure OpenAI layer generates a human-readable explanation of exactly what happened — so AP teams can act immediately rather than investigate for hours.
Matched and within-tolerance GR/IR items are cleared automatically in SAP via MR11 and F.13 BAPI calls — no manual t-code navigation, no overnight batch scrambles. Out-of-tolerance exceptions are escalated with full AI context attached.
SAVI AI's Order Fulfillment Agent reads live SAP order data and answers questions in plain English — no SAP access, no training required. Supply chain teams get instant answers, at-risk order alerts, OTIF trend analysis, and AI-drafted escalation emails — all from a single conversational interface.
Six intelligent steps that turn month-long reconciliation into overnight automation.
Real-time OData pull of all open GR/IR items from SAP MM.
Live SyncLine-item matching of GR quantities vs invoice. Gaps, extras, price deltas flagged.
AutomatedAzure OpenAI explains each mismatch in plain English with root cause.
AI PoweredWithin-tolerance items cleared via SAP MR11/F.13. Exceptions escalated with context.
AutomatedFull reconciliation report generated and archived in SAP.
SAP NativeImmutable GR/IR clearing log captured natively in SAP — always audit-ready.
ComplianceWhat took a team all week is completed overnight. SAVI AI runs reconciliation autonomously while your team sleeps.
AI explains every discrepancy in plain English. AP teams act on the resolution, not the investigation.
Most items clear themselves within configured tolerances. Only genuine exceptions reach a human reviewer.
OData means your data is always current — no batch export, no stale spreadsheets, no reconciliation lag.
Every match, clear, and exception is logged with timestamp in SAP. Internal and external audits prepared in minutes.
Works with S/4HANA, ECC 6.0, on-premise and RISE with SAP — no landscape constraints.
Watch how the GR/IR Reconciliation Agent clears backlogs, explains every mismatch, and writes results back to SAP — all without manual effort.
Join 473+ enterprises using SAVI AI to automate workflows, reduce manual effort, and drive measurable business outcomes — fast.
See SAVI AI in action with your SAP use case
Common questions about AI-powered GR/IR reconciliation in SAP.
GR/IR reconciliation matches goods received in SAP against vendor invoices. Unreconciled items create open liabilities on the balance sheet, cause audit issues, and inflate month-end accruals. SAVI AI automates this matching to clear items without manual effort.
SAVI AI retrieves open GR and IR items from SAP and applies a multi-criteria matching algorithm comparing PO number, line item, quantity, unit price, and delivery date tolerance. Matches meeting the configured threshold are automatically cleared using SAP transaction MR11 with a full audit trail.
Most implementations achieve 80 to 90 percent auto-match rates within the first 60 days. The remaining items with genuine discrepancies are routed to the AP or procurement team with a structured exception report.
Discrepant items are classified by exception type — quantity variance, price variance, missing GR, or duplicate invoice — and routed to the appropriate team with a pre-populated resolution form showing the recommended action.
Yes. SAVI AI handles standard POs, blanket orders, consignment settlements, service entry sheets, and ERS documents. It works with both SAP ECC 6.0 and SAP S/4HANA.
The system runs an automated SAP data pull every hour by default, configurable to every 15 minutes for high-volume environments. Real-time push notifications alert the team when new high-value discrepancies are detected.