At SAP TechEd 2025 in Berlin, SAP SE announced new tools and partnerships aimed at integrating artificial intelligence (AI) into the software development process. The company introduced AI-driven features in its SAP Build solution, expanded its data ecosystem, and unveiled new Joule Agents to help developers accelerate their work.
SAP also committed to providing 12 million people worldwide with AI-related skills by 2030 through expanded training and certification programs, including a partnership with Coursera.
“SAP’s announcements today give developers the tools they need to deliver at the speed of AI,” said Muhammad Alam, member of the Executive Board of SAP SE. “Innovations across SAP’s unique flywheel of applications, data and AI put developers in the driver’s seat — where they belong.”
Developers using SAP Build can now access more options for building, extending, and automating enterprise applications. New integrations allow those who use agentic development solutions such as Cursor, Claude Code, Cline, and Windsurf to work with SAP frameworks via local Model Context Protocol Servers. A new extension for Visual Studio Code will let users access SAP Build features directly within their environment. This extension will later be available on Open VSX Registry for other development environments. Additionally, SAP announced plans with n8n for integration between Joule Studio agents and n8n agents.
Joule Studio now offers enhanced agent-building capabilities that let developers create or extend agents based on SAP business data that can act autonomously as business conditions change.
In terms of data management, SAP Business Data Cloud now connects with more third-party platforms commonly used by developers. A new extension enables Snowflake’s managed data and AI services to be used within SAP Business Data Cloud. This gives customers flexibility in choosing compute and storage options while maintaining governance and interoperability. The partnership with Snowflake complements existing integrations with Databricks and Google Cloud.
A new feature called data product studio allows developers to transform raw information into usable assets for analytics or application development. Updates to the knowledge graph engine in SAP HANA Cloud enable automatic mapping of relationships across databases, helping users understand how their data is interconnected.
SAP also introduced its first enterprise relational foundation model—SAP-RPT-1—a type of AI designed to predict business outcomes like delivery delays or payment risks rather than generating text. Developers have access to a free playground environment for experimenting with this technology.
New AI assistants within Joule coordinate multiple agents across different workflows and departments to automate complex tasks in areas such as finance, supply chain management, and human resources. One example is an agent designed for business process analysis that helps teams identify inefficiencies and opportunities for improvement.
To address changes brought by AI in the workplace, SAP pledged ongoing support for upskilling efforts globally by expanding hands-on training initiatives that include practical tools relevant to current industry needs.
For further details about these developments or information about products and services offered by SAP SE, visit www.sap.com or follow updates on LinkedIn and Bluesky.
