SAVI AI Quality agents automate inspection lot creation, quality notification routing, usage decisions, and non-conformance management — natively in SAP QM with full traceability.
QM inspection lots triggered automatically from goods receipt, production, or delivery.
Inspection results captured, tolerance checks run, and defects classified by AI.
AI posts usage decisions and triggers corrective actions in SAP QM automatically.
SAVI AI connects SAP QM, PP, and MM with Azure AI — automating inspection workflows, defect management, and quality reporting with zero manual data entry.
We eliminate manual quality management in SAP — from inspection creation to usage decision. SAVI AI brings AI-driven defect classification and SAP-native QM APIs into one seamless quality automation loop.
SAVI AI delivers pre-built, SAP-native finance agents across invoice processing, GR/IR reconciliation, journal posting, and expense compliance. Each workflow reduces manual effort, improves accuracy, and keeps every transaction audit-ready.
From inspection lot creation to stock release or block, SAVI AI runs a structured quality workflow that keeps every product traceable and audit-ready.
QM lots created automatically from GR, production order, or delivery trigger in SAP.
Inspection results entered by AI from sensor data, lab reports, or manual scans.
AI classifies defect types, checks tolerances, and generates non-conformance notifications.
Usage decision posted in SAP, stock released or blocked, and corrective action triggered.
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See SAVI AI Quality in action with your SAP environment
Common questions about SAVI AI quality process automation.
SAVI AI automates inspection lot creation, results recording, defect classification, non-conformance notifications, usage decisions, and corrective action triggering — all natively in SAP QM with full audit traceability.
SAVI AI evaluates inspection results against SAP QM inspection plan tolerances, applies configured decision rules, and posts the usage decision (accept, reject, or rework) via SAP QM BAPIs — releasing or blocking stock automatically based on the outcome.
SAVI AI uses Azure AI vision and classification models to analyse inspection data, sensor readings, and images — mapping defects to SAP QM defect codes, generating Q-notifications, and recommending corrective actions based on historical patterns.
Yes. SAVI AI connects with LIMS (Laboratory Information Management Systems), sensor networks, and manual scan inputs to capture inspection results and post them directly to SAP QM inspection lots without manual data re-entry.
SAVI AI automatically creates inspection lots for goods receipts from external vendors, processes incoming inspection results, posts usage decisions, and updates vendor quality scores in SAP MM — enabling data-driven vendor qualification without manual QM effort.