AI-Enhanced Risk Management in SAP S/4HANA: Leveraging Predictive Analytics for Proactive Decision-Making

In recent years, the integration of Artificial Intelligence (AI) into enterprise systems has revolutionized decision-making processes, particularly in the realm of Enterprise Resource Planning (ERP) systems such as SAP S/4HANA. This review paper examines the role of AI-enhanced risk management in SAP S/4HANA, focusing on leveraging predictive analytics to facilitate proactive decision-making. SAP S/4HANA, with its advanced capabilities in cloud computing and data management, provides organizations with the tools needed to anticipate and mitigate risks in real-time. Predictive analytics, powered by AI, enables businesses to forecast potential disruptions, financial risks, and operational inefficiencies, allowing them to take corrective actions before issues arise. This paper highlights key advancements in AI-driven predictive intelligence, presents case studies of its application in risk management, and discusses future trends and challenges in AI integration with SAP S/4HANA. The combination of AI and SAP S/4HANA promises to enhance operational efficiency, improve risk mitigation strategies, and support data-driven decision-making, making it a critical component of modern enterprise management.