AI model-based auxiliary data auditing method and system
By building a merchant profile review system based on AI models and utilizing pre-review, risk and compliance intelligence combined with routing modules, we have solved the high cost of manual review on third-party payment platforms, achieved efficient and accurate merchant profile review, and adapted to legal changes and multi-source data verification.
Patent Information
- Application Number
- CN202511299967.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-12
- Publication Date
- 2025-10-17
AI Technical Summary
In the existing technology, third-party payment platforms rely on a lot of manpower to review merchant information, resulting in high costs and low efficiency. In particular, it is difficult for software to automatically determine whether the backgrounds of the front and back of the legal person's ID card are consistent, whether the storefront photo and the interior photo are of the same store, whether the storefront and interior photo have the same address, comparing the door number and contact address in the storefront photo, comparing the interior photo and the MCC, and whether the attached materials are photoshopped or copied from the screen. This leads to a serious backlog of manpower.
An AI-model-based auxiliary audit system is adopted, including pre-review audit agents, risk audit agents and compliance audit agents. The corresponding sub-agents are constructed through API configuration, and the most suitable AI model is selected for audit in combination with the routing module. OCR, image processing technology and RAG technology are used for data extraction and verification, supplemented by manual review, to achieve efficient and accurate merchant information review.
Significantly reduce manual review workload, improve review efficiency and accuracy, reduce costs, achieve efficient and automated review of merchant information, and adapt to real-time updates of legal regulations and multi-source data verification.