How E.ON Uses Databricks Apps to Deploy GenAI Applications in Under 2 Minutes

E.ON is one of Europe’s largest energy companies, with more than 70,000 employees managing energy distribution grids, infrastructure solutions, and sales across the continent. The company is a leading force in Europe’s clean energy transition, which means its operational scope is expanding rapidly: growing networks of public EV charging stations, workers maintaining high-voltage power grids, and an increasing need to turn operational data into timely decisions.

Two problems were holding the company back. The first was contract management for its EV charging infrastructure. E.ON’s network of public ChargePoint operator contracts—covering pricing, tariffs, and key terms—required manual review, which created bottlenecks as the EV network grew. The second was health and safety. E.ON’s field workers maintain power grids in inherently hazardous conditions. Without real-time data visibility into incident patterns, the health and safety team struggled to move from reactive response to proactive prevention. “Working with high-voltage electricity is inherently dangerous,” said Lukas Heidegger, Senior Data and MLOps Engineer. “The lack of real-time data insights makes it difficult to prevent field incidents proactively.”

E.ON turned to Databricks Apps, which enables data teams to quickly deploy production-ready applications directly within the Databricks Data Intelligence Platform—without separate front-end infrastructure or data movement between systems. For contract management, E.ON built a GenAI application that lets employees query 500–600 ChargePoint contracts using natural language, extracting pricing, tariffs, and terms without manual review. For health and safety, the team built interactive dashboards showing real-time incident data enriched with visualizations of incident locations, weather conditions, and risk patterns. Both were deployed in one to two minutes.

The impact across both use cases was immediate. Contract management teams can now react quickly to frequent contract changes and reduce the risk of missing key terms. The health and safety team can identify incident patterns before they result in injuries. With 1,500 employees using Databricks for dashboards and insights, decision-making across departments has become more data-driven and faster. “For us, Databricks is not just about developing applications quickly—it’s about having the flexibility to work with data and models in one platform, without the need for moving data between different systems,” Heidegger noted.

E.ON is now exploring further applications: hosting microservices that interact with critical business systems through APIs, adding user-level visibility to track adoption, and personalizing experiences for region-specific global deployments. With deployment friction effectively eliminated, the data team can focus on expanding AI-powered capabilities rather than managing infrastructure.