Authors: Yuvraj Deshmora
Abstract: Enterprise Resource Planning systems, particularly SAP ERP, have become critical tools for organizations seeking to streamline operations, integrate business processes, and manage risks effectively. Traditional risk management approaches in SAP ERP often rely on periodic assessments, static risk scoring, and manual intervention, which may fail to capture emerging threats or changes in operational environments. Continuous risk scoring powered by autonomous learning algorithms offers a transformative approach, enabling real-time identification, evaluation, and mitigation of risks across various business processes. By leveraging machine learning, deep learning, and adaptive algorithms, organizations can continuously analyze transactional, master, and operational data to detect anomalies, predict potential failures, and proactively respond to emerging threats. This review examines the current state of continuous risk scoring in SAP ERP, highlighting the capabilities of autonomous learning algorithms, data integration challenges, practical applications, and potential limitations. Case studies and literature indicate that organizations adopting autonomous risk scoring benefit from improved decision-making, reduced manual oversight, and enhanced compliance with regulatory standards. Furthermore, continuous risk assessment supports proactive management strategies by providing dynamic insights into operational, financial, and compliance risks. The review also identifies future directions, including the incorporation of explainable AI for interpretability, integration with cloud-based SAP systems, and the use of reinforcement learning to enhance predictive accuracy. The findings suggest that continuous risk scoring is not only a technological advancement but also a strategic necessity for organizations aiming to maintain resilience and agility in a rapidly changing business environment. By synthesizing current research and practical implementations, this review provides a comprehensive understanding of how autonomous learning algorithms can revolutionize risk management in SAP ERP. It concludes with recommendations for future research and practical adoption strategies to maximize the benefits of continuous risk scoring.
DOI: http://doi.org/10.5281/zenodo.18162741
