SAP has officially introduced its Autonomous Enterprise software architecture, rolling out a specialized suite of AI agents designed to execute end-to-end corporate operations. To accelerate market adoption across its global ecosystem, the company launched a €100 million fund for channel partners to deploy these automated assistants or build custom extensions within the newly unified SAP Business AI Platform. The upgraded platform environment unifies SAP’s existing business technology, data cloud, and machine learning divisions into a single governed system anchored by a structured business entity map called the SAP Knowledge Graph.
The software deployment includes the SAP Autonomous Suite, which introduces more than 50 domain-specific Joule Assistants across corporate finance, supply chain, procurement, human resources, and customer experience operations. These assistants orchestrate a subset of over 200 specialized agents to handle administrative tasks, exemplified by a new Autonomous Close Assistant engineered to compress corporate financial close timelines from weeks to days by automating journal entries and error reconciliations. The firm is also debuting an outcome-based interface called Joule Work on desktop, mobile, and voice systems, allowing users to bypass traditional software screens and navigate both SAP and non-SAP landscapes through natural language.
To expand its computational capabilities, SAP finalized a broad slate of infrastructure partnerships with AI and cloud providers. The platform integrates Anthropic’s Claude models to power agents across supply chain and HR functions, utilizes NVIDIA’s OpenShell to secure runtime environments inside Joule Studio, and establishes bidirectional agent-to-agent interoperability with Google Cloud and Microsoft frameworks. For legacy on-premises clients, the company is packaging these automated capabilities into its RISE and GROW migration offerings, deploying new agent-led transformation tooling that automates system analysis and code remediation to reduce ERP cloud migration workloads by more than 35%.