Multi-agent system combining generative AI and OCR to detect contractual discrepancies and optimize supplier value recovery.

The industrial supplier contracts include complex commitments (OTD, OQD, CSR) that are prone to error when tracked manually. For Nexans, the critical challenge was to systematically detect discrepancies between legal clauses and operational reality to ensure compliance and protect the financial interests of the group in the event of non-compliance.
We designed an innovative Multi-Agent system combining Generative AI and OCR. This tool automatically analyzes and cross-references contractual documents with the execution data field. It identifies deviations and calculates applicable penalties in real time, providing buyers with a precise and actionable view of supplier performance.
"The major challenge lay in interpreting diverse legal clauses and reconciling them with heterogeneous operational data. We overcame this by developing a multi-agent architecture capable of processing these unstructured documents. This approach made it possible to reliably extract critical information despite the contractual complexity."