Title
Axpo boosts operational efficiency across the energy value chain
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Description
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.
…wledge retrieval, unifying internal data and supporting seamless collaboration. Their architecture followed the medallion pattern: Raw data from sources like Confluence wikis entered the Bronze layer, was cleaned and chunked in the Silver layer and embedded into the Gold layer for downstream use. This approach ensured that clean, structured data flowed into GenAI application…
Company
Axpo Group
…users 3× Increase in user adoption, as the solution expands beyond engineering Axpo Group, a major player in the Swiss energy sector, is on a mission to transform how energy is generated, traded and distributed.…
Country
Switzerland
…users 3× Increase in user adoption, as the solution expands beyond engineering Axpo Group, a major player in the Swiss energy sector, is on a mission to transform how energy is generated, traded and distributed.…
Region
Europe
…users 3× Increase in user adoption, as the solution expands beyond engineering Axpo Group, a major player in the Swiss energy sector, is on a mission to transform how energy is generated, traded and distributed.…
Industry
Energy
…ience needed to meet the energy challenges of tomorrow. Share this post Details Industry : Energy Cloud : Azure Product : Agent Bricks Ready to get started? Try Databricks for f…
Problem
Axpo's engineers and other employees needed a faster way to access critical internal knowledge such as technical standards, specifications and best practices, but legacy challenges — data silos, fragmented tools and manual processes — slowed progress. Critical knowledge was scattered across siloed systems, forcing employees to rely on point-of-contact subject matter experts, and disconnected tools and workflows hindered collaboration between data engineering and ML teams. Growing concerns around data residency and governance underscored the need for a centralized, compliant platform.
…on files. Despite their ambitions, Axpo faced several challenges in scaling AI. Critical knowledge was scattered across siloed systems, forcing employees to rely on point-of-contact experts and slowing down daily work. Disconnected tools and workflows hindered collaboration between data engineerin…
Implementation approach
The initiative began as an engineering-driven tool built by Axpo's cross-functional Generative AI Competence Center (13 experts) and has since scaled company-wide as adoption grew 3x beyond its original engineering audience. The team is advancing 12 active GenAI use cases ranging from beta pilots to full-scale production across all business areas.
…AI applications,” Anaig Maréchal, Lead AI Engineering at Axpo Group, explained. This effort is part of Axpo’s Generative AI Competence Center, a cross-functional team of 13 experts dedicated to pushing the boundaries of AI across the company and democratizing its adoption. Axpo saw opportunities to automate repetitive t…
Solution
Axpo's Generative AI Competence Center built a GenAI knowledge assistant on the Databricks Data + AI Platform, following a medallion architecture (Bronze/Silver/Gold layers) with raw data from sources like Confluence wikis. Lakeflow Jobs orchestrate daily pipelines to index and enrich content. A RAG-based AI Search index over the Gold layer enables secure, permission-aware retrieval enforced with row-level access controls, OpenAI's GPT-4o generates conversational responses, and Mistral's OCR model extracts searchable content from scanned PDFs and attachments. The agent is deployed via Databricks Model Serving as an endpoint integrated into internal dashboards, chat tools and the Axpo Insights product. Machine learning is also used to automatically classify vendor and spending data for procurement visibility.
…atabricks gave teams a consistent environment, eliminating redundant workflows. At the core was an AI agent powered by retrieval augmented generation (RAG), the north star of Axpo’s internal knowledge base. Using AI Search, Axpo indexed embedded Gold-layer content to enable fast, accur…
Business value
Internal users report over 90% satisfaction (approval rating) with the knowledge assistant. Project managers and other power users estimate they've reclaimed up to 30% of their time. Adoption has grown 3x as the tool expanded beyond its original engineering audience company-wide.
…igh-impact work Axpo’s GenAI initiative is already delivering measurable value. Internal users report over 90% satisfaction with the knowledge assistant, citing faster answers, fewer interruptions and greater confidence in the information they access. Project managers and other power users estimate they’ve reclaimed up to 30% of…
AI capabilities
Generative AI, Retrieval-Augmented Generation, Conversational AI, Document Intelligence
…atabricks gave teams a consistent environment, eliminating redundant workflows. At the core was an AI agent powered by retrieval augmented generation (RAG), the north star of Axpo’s internal knowledge base. Using AI Search, Axpo indexe…
Technology
Databricks Data + AI Platform, Databricks Lakeflow Jobs, GPT-4o, Mistral OCR, Databricks Model Serving
…nowledge, enforced with row-level access controls to ensure proper permissions. OpenAI’s large language model GPT-4o generates conversational responses using the most relevant data. Axpo also integrated Mistral’s OCR model to extra…
Deployment model
cloud
…et the energy challenges of tomorrow. Share this post Details Industry : Energy Cloud : Azure Product : Agent Bricks Ready to get started? Try Databricks for free Learn more…
Deployment options
cloud
…et the energy challenges of tomorrow. Share this post Details Industry : Energy Cloud : Azure Product : Agent Bricks Ready to get started? Try Databricks for free Learn more…
Capture details
- Captured
- 17 Aug 2026, 00:24 UTC
- Extractor
- fetch-strip@1
- Snapshot hash
- f5ee3184a89abafd2d1600605f03387eede1836f2ad5800e4d2088f0647a190c