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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

AI-driven risk management and regulatory compliance in banking with SAP ERP

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  • AI-driven risk management and regulatory compliance in banking with SAP ERP

Venkata Satish Polu *

The Andersons, Inc., USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 2491-2515

Article DOI: 10.30574/wjarr.2025.26.1.1324

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1324

Received on 08 March 2025; revised on 14 April 2025; accepted on 16 April 2025

This comprehensive article explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) with SAP Enterprise Resource Planning (ERP) solutions in banking risk management and regulatory compliance. The article analyzes how financial institutions leverage AI-enhanced SAP ERP systems to strengthen risk management frameworks, improve fraud detection mechanisms, and streamline regulatory compliance processes. It investigates the evolution of risk management in banking, detailing SAP's comprehensive risk management framework, including SAP Risk Management, SAP S/4HANA Finance, and SAP Financial Compliance Management. The article evaluates AI-enhanced fraud detection capabilities through SAP Fraud Management, automated KYC/AML processes, and risk scoring with SAP BTP. Additionally, it examines regulatory compliance automation through SAP GRC, Central Finance, and Analytics Cloud. The article addresses implementation challenges, including data quality issues, model training complexities, regulatory acceptance hurdles, and talent shortages, while providing best practices for successful deployment. Finally, it explores future trends in AI-driven risk management with SAP, including quantum computing integration, advanced natural language processing, expanded predictive capabilities, and RegTech innovation. 

Artificial intelligence; SAP ERP; Risk management; Regulatory compliance; Fraud detection; Financial technology

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1324.pdf

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Venkata Satish Polu. AI-driven risk management and regulatory compliance in banking with SAP ERP. World Journal of Advanced Research and Reviews, 2025, 26(1), 2491-2515. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1324

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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