Danske Statsbaner achieves 30% productivity boost with AI-driven business transformation
Danske Statsbaner (DSB), Scandinavia's largest train operator with 6,500 employees, initiated a transformative AI program in collaboration with Microsoft to modernize operations and improve customer experiences. Facing stiff competition from automobile travel, DSB focused on making rail journeys more attractive and efficient. The company leveraged Microsoft AI, including Microsoft 365 Copilot, to democratize AI usage, foster a culture of innovation, and break down data silos across the organization. Practical implementations included the use of AI for graffiti cleanup, resulting in operational cost reductions, and the application of generative AI and machine learning to drive productivity improvements for both business and IT-led projects. These efforts not only improved service quality but also resulted in a notable 30% boost in productivity and a cultural shift towards more data-driven decision-making.
- Organization
- Danske Statsbaner
- Industry
- Logistics
- Location
- Denmark
- Published
- May 2025
Reported outcomes
+30%
productivityProductivity & throughput
Strategic outcomes
Catalog median for productivity & throughput deployments: +45% across 225 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 4
- 1graffiti detection and cleaning automation
- 2organizational productivity improvement
- 3AI democratization
- Low rail usage compared to car travel (only 8% of journeys by train in Denmark)
- High costs and operational challenges related to cleaning graffiti on trains and stations
- Siloed, unorganized data sources preventing optimization
- Need for a cultural transformation to adopt new technologies effectively
- Desire to increase productivity and efficiency across business units
- Implementation of AI-powered and machine learning solutions for multiple business problems
- Use of Microsoft 365 Copilot and GenAI for company-wide productivity
- Application of AI to automate and reduce costs of graffiti removal
- Centralization and structuring of organizational data
- Collaboration between business and IT to drive technology adoption
- Productivity improved up to 30% across organization
- Operational costs for graffiti cleanup reduced
- Cultural transformation towards data-driven decision-making
- Broader usage and democratization of AI technology across departments
Sources & evidence1
The case's original source is still reachable.
- Cited source last checked Jun 1, 2026 — ok (0/1 broken).
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