Integrations · Azure AI Foundry
Azure API Management + SAP OData/BAPI connectors allow Azure AI agents to query SAP S/4HANA, ECC, and Ariba data — triggering purchase orders, reading inventory, and automating approvals without SAP customisation or ABAP development.
What's Possible
AI agents receive replenishment signals from inventory systems, query SAP S/4HANA material master and vendor lists via OData APIs, validate spend authority, and create POs in SAP — routing for approval only above configured thresholds.
Azure AI Document Intelligence extracts invoice data from PDFs and images. The agent validates extracted fields against open POs in SAP via the BAPI_PO_GETITEMS function module, flags mismatches, and posts matched invoices via BAPI_INCOMINGINVOICE_CREATE.
Azure Logic Apps poll SAP inventory tables via OData on a configurable schedule. When stock falls below reorder point, the AI agent evaluates lead times, current demand forecast, and approved vendor availability before triggering a replenishment request.
AI agents automate SAP HR transactions — position creation, cost centre assignment, employee data updates — by calling RFC-enabled SAP HR function modules via Azure API Management, with approval routing built in Semantic Kernel.
During period close, AI agents query SAP FI/CO for outstanding items, draft accrual entries with supporting calculations, and route journal entries for controller review — reducing period-close cycle from days to hours.
AI agents correlate SAP delivery schedules, vendor performance history from MM, and external news signals to generate early-warning supply chain risk alerts — surfaced as Teams notifications with recommended mitigation actions.
How We Connect It
Azure API Management acts as the secure gateway between Azure AI services and SAP. OData services are exposed from SAP Gateway, and BAPI/RFC calls use the SAP .NET Connector (NCo) via Azure Logic Apps with OAuth 2.0 token exchange.
Azure Data Factory incremental extracts feed SAP transactional data into Azure Data Lake for historical analysis. For real-time operations, OData calls are made synchronously through the API Management gateway during agent execution.
Semantic Kernel orchestrates multi-step SAP transactions — composing OData queries, BAPI calls, and approval routing into end-to-end workflows. Agents surface as background automation processes, Teams bots for operator interaction, and Power Automate flows.
Use Cases
Scenario: Warehouse management system raises a replenishment request. The AI agent queries SAP MM for approved vendors, checks current pricing in SAP info records, validates budget availability in SAP CO, and creates a purchase order — escalating to procurement for review above $50K.
Outcome: PO creation cycle drops from 3 days to 4 hours for below-threshold orders. Procurement team reviews exception reports rather than processing every transaction, reducing per-PO cost by 67%.
Scenario: Supplier invoice PDF arrives by email. Power Automate extracts the attachment and sends to Azure AI Document Intelligence. The agent retrieves the matching SAP PO via OData, validates quantities and prices, and posts a matched invoice via BAPI — flagging discrepancies for AP review.
Outcome: 92% of invoices post straight-through with zero human handling. AP team processes only exceptions — complex disputes, pricing variances, and unapproved charges.
Scenario: At period end, the finance agent queries SAP FI for open items, identifies accruals needed based on goods receipts without invoices, drafts journal entry postings with calculation summaries, and routes to the controller for approval via Teams.
Outcome: Period close time reduces from 5 days to 2 days. Controllers review AI-prepared analysis rather than pulling reports manually, focusing effort on material judgement items.
Scenario: The supply chain agent aggregates SAP delivery confirmations, goods receipt dates, and quality rejection records to generate a weekly vendor scorecard. Vendors below threshold trigger an automated remediation workflow in SAP.
Outcome: Procurement team has real-time visibility into supply chain risk rather than waiting for quarterly reviews. At-risk vendors are flagged and managed before disruption materialises.
Built With
Azure AI Practice
By Industry
How We Compare
Integrations