In a technology landscape dominated by artificial intelligence, SAP has taken a decisive step to redefine the way developers build and automate business applications. At the SAP TechEd 2025 event, the company announced a deep integration of AI into its processes and solutions, with the aim of accelerating software creation and enhancing the impact of data on decision-making.
The news presented focuses on two main axes, the expansion of SAP Build, the flagship development and automation platform, and the evolution of Joule, its ecosystem of intelligent agents. In addition, SAP has reaffirmed its social commitment to global training in artificial intelligence skills, promising to train 12 million people in this subject by 2030.
AI as the engine of the new era of development
SAP is betting on a model in which developers can go “from idea to impact with unprecedented speed and confidence.” With this vision, the company has integrated new AI-driven capabilities into SAP Build, which now offers a more open, collaborative and adaptable environment to the tools preferred by each professional.
“The announcements shared today by SAP provide developers with the tools they need to work at the speed of AI,” said Muhammad Alam, member of the Executive Board of SAP SE. “Innovations in SAP’s AI, data and application engine put developers in the driver’s seat, which is where they need to be.”
At the SAP TechEd 2025 event, the company announced a deep integration of AI into its processes and solutions, with the aim of accelerating software creation and enhancing the impact of data on decision-making
A more open and collaborative ecosystem
With the new version of SAP Build, developers will be able to use their favorite environments, such as Visual Studio Code, Cursor, Claude Code or Windsurf, to create and extend applications within the SAP framework. Integrating local model context protocol servers allows workflows to be more flexible and solutions to easily connect to external environments.
Additionally, SAP has announced an upcoming extension for Visual Studio Code that will facilitate direct access to SAP Build capabilities from this environment, along with its future availability in the Open VSX registry. The company has also teased an integration with n8n, which will allow Joule Studio agents to interact with n8n agents to execute end-to-end automated processes.
In Joule Studio, developers will be able to create new AI agents adapted to the business context of each organization. These agents will be able to act autonomously, analyzing business data and responding dynamically to changing market conditions.
Data as the foundation of intelligence
All AI needs reliable data to learn and act, and SAP knows this. That’s why the company has strengthened its SAP Business Data Cloud platform, which now offers broader integrations with leading data and artificial intelligence providers.
One of the main new features is the SAP Snowflake extension, which incorporates the processing and managed storage capabilities of this platform directly into the SAP environment. This gives customers greater flexibility to choose the ideal capacity for each workload, without giving up governance or business context.
Likewise, SAP has launched the Business Data Cloud Connect initiative in collaboration with Snowflake, complementing existing integrations with Databricks and Google Cloud. This openness gives developers greater freedom to work with SAP data and leverage it in AI or advanced analytics projects.
Another notable innovation is the new data products studio, which allows you to transform raw data into assets ready for analysis and development of intelligent applications. Additionally, the expansion of SAP HANA Cloud’s knowledge graph engine introduces the ability to automatically generate graphs that map relationships between data, making it easier to visualize and understand how information connects between systems.
Towards autonomous enterprise AI
The company has also revealed its first relational foundational model, SAP-RPT-1, a type of AI designed specifically to predict business outcomes instead of words or text patterns. This model can anticipate delays in deliveries, risks of non-payment or fulfillment of sales orders, which represents a significant advance towards predictive business intelligence.
SAP has opened a free testing environment so that developers can experiment with this model and evaluate its potential in different scenarios.
