SAP Autonomous Suite
Building on this basis, SAP also provides the SAP Autonomous Suite before. According to the company, this is the first time that SAP’s primary business applications are designed to execute processes independently, rather than simply capturing the results of human work. The suite includes more than 50 domain-specific Joule assistants in the areas of finance, supply chain, procurement, HR and customer loyalty. These assistants automate end-to-end processes by coordinating a subset of over 200 specialized Joule agents to carry out precise tasks.
As an example, SAP pointed to the Finance Close Assistant, which automates complex financial closing processes using AI and company memory. In a demo, SAP showed how the system coordinated closing processes across twelve legal entities, four ERP systems and six currencies. AI agents took over reconciliations, accruals and intercompany transactions – tasks that previously often required weeks of manual work.
Speaking of Company Memory: This new introduction is a knowledge management layer that is built on the same basis as SAP Signavio and therefore, according to SAP, already has a native understanding of process models and process analyses. This layer captures organizational knowledge such as policies, processes, decision patterns and exceptions and makes it available to AI agents. As the agents work, they extract so-called “process patterns” – small structured units of process knowledge. These patterns help agents understand what to look for, what steps to take, and, just as importantly, what actions to avoid.
Industry AI
SAP has always seen its industry-specific solutions as a decisive competitive advantage – and is also leveraging it in the AI age. The company announced on Sapphire Industry AI solutions for 26 different industries to. Industry-specific process logic, data contexts and regulatory requirements are directly integrated into individual AI-supported solutions that are specifically tailored to the respective core business.
An example of what this looks like in practice is the fashion chain H&M. In a live demo, outgoing Chief Digital and Information Officer Ellen Svanström showed how the SAP-based store intelligence app enables a better understanding of the business based on online feedback and real-time data. AI agents recommend optimal product placement and merchandising measures in the stores in real time.
According to Svanström, H&M is also developing an AI-powered store concierge agent that will combine the online and in-store experience into a consistent, personalized customer experience. Customers received outfit recommendations, information about the real-time availability of products and context-related advice directly while shopping.
