According to @DeepLearningAI, Christoph Meyer and Lars Heling from SAP identified key reasons why AI agents often fail within complex enterprise systems. They explained that agents struggle primarily due to difficulties in selecting the correct API and understanding the business process context. Lars Heling emphasized that APIs operate in a specific sequence and are not isolated. The SAP experts highlighted that knowledge graphs, structured with ontologies, address these challenges by mapping resources, APIs, and business processes as interconnected nodes. This approach enhances semantic understanding, improves agent decision-making, and creates new business opportunities for scalable automation in enterprise AI deployments (source: @DeepLearningAI, Nov 14, 2025).