AI-Driven Automated Compliance Monitoring in SAP & Salesforce: A Comprehensive Technical Implementation Guide
Regulatory compliance issues present within the organizations are intensifying in the frameworks of SOX, GxP, FDA 21 CFR Part 11, and ISO 13485 because manual monitoring is not suitable in the contemporary environment of enterprise transaction volumes. The implementation guide is a technical outline of automated tools for compliance monitoring by AI in an integrated Salesforce and SAP environment. This framework consists of real-time transaction analysis engines, automatic generation of audit trails, end-to-end traceability modules, and GRC integration layers that process a stream of continuous data and apply advanced anomaly detection algorithms. Implementations that are specific to SAP make use of SOX compliance automated through the AI Core platform, continuous auditing technology, and GxP quality management integration. The Salesforce solutions employ the Einstein AI platform security capability and Shield overall monitoring with revenue recognition controls and privacy issue management. The integration of cross-platforms using IBM OpenPages and enterprise immune system allows the coherent checking of compliance using behavioral analytics and automated testing frameworks. The results of the implementation show that compliance effectiveness has been increased significantly on the basis of predictive risk assessment and proactive prevention of violations.
Authors
- Vijay Kumar Kola
Publication Details
- Journal
- Global Journal of Computer Science and Technology
- Published
- 2025-10-13
- DOI
- https://doi.org/10.34257/gjcstdvol25is1pg61
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00