Microsoft Travel and Hospitality Denmark

Danske Statsbaner (DSB)

Enterprise Knowledge Search · IT Operations Automation

Danske Statsbaner (DSB), the largest rail operator in Denmark and Scandinavia, wanted to find ways GenAI could help solve a variety of operational issues, including the proliferation of graffiti in tunnels and on trains.

According to business journal Børsen , the rail operator is part of a wave of early adopters that are enjoying 15% to 30% improvements in productivity.
Up until then, we would start individual initiatives where a department would be the internal customer of a very specific solution—whereas GenAI and Microsoft 365 Copilot are potentially for everyone.

Reported impact

Business outcome

The possibilities to use data to improve rail service in Denmark are set to grow considerably, according to Friis. The rolling stock that we’re procuring now comes with the latest technologies and IoT enablement. So, the number of data points is mushrooming.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

Danske Statsbaner (DSB) built this solution on Microsoft 365 Copilot. Danske Statsbaner (DSB), the largest rail operator in Denmark and Scandinavia, wanted to find ways GenAI could help solve a variety of operational issues, including the proliferation of graffiti in tunnels and on trains. Microsoft 365 Copilot assists employees with drafting, summarization, and information retrieval inside daily work tools. DSB adopted Microsoft AI technologies, including Microsoft 365 Copilot, as part of an effort to centralize data and make the development of new data-based solutions—including AI solutions—easier. We saw huge potential in using GenAI when it first came out,” says Friis. Documents, meetings, and collaboration context remain in Microsoft 365 while Copilot generates grounded drafts, summaries, and answers directly inside daily employee workflows.

Data flow

Documents, meetings, and collaboration context remain in Microsoft 365 while Copilot generates grounded drafts, summaries, and answers directly inside daily employee workflows.

Solution architecture

1 components · 1 layer
  1. Serving
    • Microsoft 365 Copilot Assists employees with drafting, summarization, and information retrieval inside daily work tools.

Architecture clues

  • The implementation relies on Microsoft 365 Copilot as a core technical building block.

Evidence from the source

According to business journal Børsen , the rail operator is part of a wave of early adopters that are enjoying 15% to 30% improvements in productivity.
DSB adopted Microsoft AI technologies, including Microsoft 365 Copilot, as part of an effort to centralize data and make the development of new data-based solutions—including AI solutions—easier.
Danske Statsbaner (DSB), the largest rail operator in Denmark and Scandinavia, wanted to find ways GenAI could help solve a variety of operational issues, including the proliferation of graffiti in tunnels and on trains.
The possibilities to use data to improve rail service in Denmark are set to grow considerably, according to Friis. The rolling stock that we’re procuring now comes with the latest technologies and IoT enablement.
Up until then, we would start individual initiatives where a department would be the internal customer of a very specific solution—whereas GenAI and Microsoft 365 Copilot are potentially for everyone.
Transparency Evidence & methodology 80/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value80/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Danske Statsbaner (DSB) customer story

    First-party
    https://www.microsoft.com/en/customers/story/18839-dsb-microsoft-365-copilot
    Source type
    Vendor-published customer story
    Published
    Oct 1, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Oct 1, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.