Self-Healing ERP and Agentic AI: The Future Evolution of SAP Enterprise Systems

With the evolution of ERP systems, the scope of Artificial intelligence increases from a minor “add-on” to a key part of the system. This paper explores the future of SAP Enterprise Systems with the help of the “Clean Core” methodology. It discusses how the SAP Platform serves as a foundation for Agentic AI. Unlike traditional workflows that operate on a set route map, the future system will employ agents that can operate from start to finish for tasks related to finance and supply chain management. With the help of the transition from Large Language Models (LLMs) to Structure-Aware Foundation Models, the research aims to prove the significance of semantic knowledge graphs for the connection of AI with complex business logic. The research concludes that the future of SAP Enterprise Systems holds promise for “Self-Healing” ERPs that can automatically detect and resolve issues with data or processes with minimal human intervention, reducing the workload by 60-75%.