SAP: Bringing the ‘Operating System’ of a Company into the AI Era with CTO Philipp Herzig

SAP is undergoing a fundamental re-engineering of its enterprise software platform by integrating AI agents and generative user interfaces to move beyond traditional, manual-click workflows. As the company transitions from standard software-as-a-service to an outcome-based model, the focus shifts toward leveraging deeply embedded AI to automate complex business processes like finance, supply chain, and human resources. While large language models excel in unstructured data, predictive analytics remains critical for structured enterprise data, necessitating specialized architectures like Relational Pre-trained Transformers. The primary challenge for large-scale adoption lies in data harmonization, security, and the ability to verify AI-driven outcomes against reliable master data. By automating mundane tasks and enabling natural language interaction with complex systems, SAP aims to elevate the strategic capacity of enterprise teams while maintaining the rigorous standards required for global business operations.