AI use cases in Switzerland
5 documented implementations
SAP builds a Mistral-powered multilingual chatbot that cuts SBB's software-migration support queries by 80%
SBB (Swiss Federal Railways)
To support end users during Swiss Federal Railways' (SBB CFF FFS) multi-year software migration affecting 30,000 employees, SAP built a multilingual chatbot using Mistral Large hosted entirely on SAP-operated infrastructure, making the deployment 100% European and locally hosted. The chatbot uses retrieval-augmented generation to draw on FAQs, training materials and unstructured content, with glossary-based query rewriting for domain-specific abbreviations and a human-in-the-loop process that captures expert answers into the knowledge base. It integrates into existing workflows via SAP's Build Work Zone portal and Microsoft Teams. The implementation achieved an estimated 80% reduction in repetitive support queries and scaled from 1,000 pilot users to SBB's full 30,000 employees, supporting German, French and Italian natively.
From data migration to AI innovation: AXA Switzerland's digital transformation journey with Google Cloud
AXA Switzerland
AXA Switzerland, the country's leading insurer serving over 40% of Swiss companies, migrated its data lake to Google Cloud in 2021 and built a cloud-native analytics foundation using BigQuery, Vertex AI, Cloud Run and Dialogflow. Query and processing times were reduced by over 95%, from days to minutes or seconds. The insurer uses generative AI as an assistant to human employees rather than for direct customer interaction, including natural language processing to translate and summarize complex documents such as court rulings and medical records -- cutting a task that took specialists 25 minutes down to seconds. Over 100 Google Cloud projects are now live in production across all business lines.
Roche launches NVIDIA AI factory to accelerate the development of new therapeutics and diagnostics solutions
Roche
Roche deployed 2,176 NVIDIA Blackwell GPUs on premises across the United States and Europe, bringing its combined on-premise and cloud GPU infrastructure to more than 3,500 Blackwell GPUs. The AI factory is embedded across the value chain: NVIDIA BioNeMo powers Roche's Lab-in-the-Loop strategy connecting biological and chemistry experiments with AI models in R&D; NVIDIA Omniverse-powered digital twins optimize manufacturing production lines and factory designs; accelerated computing and NVIDIA Parabricks analyze diagnostics datasets and digital pathology images; and NVIDIA NeMo Guardrails support healthcare-grade conversational AI in digital health. The expansion builds on a NVIDIA collaboration that started in 2023, and Roche's U.S. subsidiary Genentech also leverages the infrastructure for drug discovery.
Axpo boosts operational efficiency across the energy value chain
Axpo Group
Axpo Group, a major player in the Swiss energy sector, built a GenAI knowledge platform on the Databricks Data + AI Platform to give employees secure, permission-aware search across internal data sources including technical standards, specifications and best practices. The architecture uses a medallion pattern (Bronze/Silver/Gold layers), Lakeflow Jobs for orchestration, RAG-based AI Search, GPT-4o for conversational responses, and Mistral OCR for scanned documents. The tool achieved a 90% approval rating and delivered 30% time savings for power users, with a 3x increase in user adoption as it expanded beyond engineering.
Building the intelligence foundation for the energy transition
BKW FMB Energie AG
BKW, a Switzerland-headquartered energy and infrastructure company, needed a more scalable, integrated approach to working with complex weather and geospatial data to support decisions across energy production, grid management, and infrastructure services as renewable penetration and climate volatility rise. BKW partnered with Microsoft to combine Aurora (an AI weather foundation model from Microsoft Research AI for Science and Microsoft AI Weather), Microsoft Planetary Computer Pro with AI Weather Grid HD EU data catalogs, and Azure-native infrastructure (Azure Container Registry, Azure Container Apps, Azure Application Insights, and an MCP server) into a unified platform for AI-driven weather and geospatial intelligence, with BKW retaining governance over how insights are applied. The collaboration is described as an exploratory, foundation-building engagement rather than a production deployment, giving BKW's data scientists, domain experts, and technology teams a shared, governed platform and supporting its net-zero and sustainable energy goals.