Document Processing · Enterprise Knowledge Search · Real-time Analytics
But legacy challenges — including data silos, fragmented tools and manual processes — slowed progress.
Reported impact
Axpo Group achieved measurable business impact on Databricks, including 90% Approval rating on internal GenAI search tool; 30% Time savings for power users; 3× Increase in user adoption, as the solution expands beyond engineering.
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 engineering and ML teams. Growing concerns around data residency and governance underscored the need for a centralized, compliant platform. That’s where Databricks came in. As the energy industry shifts toward decarbonization, utility providers face growing pressure to modernize, not just how energy is produced (e.g., hydro, solar and wind) but also how operations are managed.
Unstructured documents and reference data lands in Databricks and is transformed into curated datasets
30% Time savings for power users
3× Increase in user adoption, as the solution expands beyond engineering
90% Approval rating on internal GenAI search tool
With over 7,000 employees across 40+ active markets in Europe, Asia and the U.S., Axpo Group set out to meet this challenge head-on by rethinking how knowledge, data and technology support the energy value chain.
With the Databricks Data + AI Platform, Axpo overcame these barriers, building GenAI solutions that boost the productivity of key power users by 30%, advancing their data and AI-driven approach to energy.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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