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Microsoft Real Estate and Construction Sweden

Sweco Group

Enterprise Knowledge Search · IT Operations Automation · Security and Compliance

To free up time for more creative solutions in client projects, the company knew it needed to provide a solution.

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As one of Europe’s leading architecture and engineering firms, Sweco makes it a priority to empower its more than 22,000 consultants with innovative technology.
Consultants also requested the ability to easily translate documents in other languages to users’ native languages.
Consultants are reporting increased productivity and added client value.
For me and many others in the company, that was to analyze large amounts of documents and make those analyses way faster,” says Roes.

Reported impact

Business outcome

It can save me up to two hours or more a day.” Consultants are also reporting increased productivity from the reduction or elimination of more mundane tasks, along with faster decision-making due to the improved ability to find and share the right documents.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Risk Reduction

Solution

As one of Europe’s leading architecture and engineering firms, Sweco makes it a priority to empower its more than 22,000 consultants with innovative technology. To free up time for more creative solutions in client projects, the company knew it needed to provide a solution. To free up time for more creative solutions in client projects, Sweco used Microsoft Azure AI Studio to rapidly develop a digital assistant to automate document creation and analysis and enhance search capabilities across the enterprise’s global network. With the success of SwecoGPT for internal use, the company plans to expand its use of Azure AI Studio to support digital innovation and to create solutions to enhance the customer experience. It can save me up to two hours or more a day.” Consultants are also reporting increased productivity from the reduction or elimination of more mundane tasks, along with faster decision-making due to the improved ability to find and share the right documents.

Solution architecture

5 components · 2 layers
  1. Compute
    • Azure OpenAI Service Runs the generative AI experience that answers questions, summarizes content, or drafts outputs for users.
    • Azure AI Services Provides AI models and cognitive services used in the customer-facing or employee-facing workflow.
    • Azure Machine Learning Trains and operationalizes machine learning models used by the solution.
    • Azure Provides the secure, scalable cloud foundation for the solution.
  2. Orchestration
    • Azure AI Studio Provides the managed environment for building, testing, and deploying the AI assistant or agent solution.

Architecture clues

  • On top of that, they have to prepare legal paperwork, search for critical regulatory and compliance information, oversee budgets, and more.
  • This just showcases the power and scalability of Azure AI Studio,” says Hunter.
  • To free up time for more creative solutions in client projects, Sweco used Microsoft Azure AI Studio to rapidly develop a digital assistant to automate document creation and analysis and enhance search capabilities across the enterprise’s global network.
  • We wanted an AI service to centralize knowledge, automate more tasks, and analyze information—one as good as ChatGPT, but we own it.” Shah Muhammad, Head of AI Innovation at Sweco, agrees.
  • We wanted to build something that draws from our data and years of global expertise and could scale as we grow and evolve—giving our consultants more time to spare and to focus on Sweco customers.” Creating a substantive POC within a few hours Muhammad and Hunter asked Sweco consultants what kinds of automation they’d like the most support with on a day-to-day basis.
  • With the success of SwecoGPT for internal use, the company plans to expand its use of Azure AI Studio to support digital innovation and to create solutions to enhance the customer experience.
  • “It was natural for us to team up with the Microsoft Customer Success Unit to explore Azure AI Studio to get most value of the features.” Azure AI Studio was seamlessly incorporated into Sweco’s existing systems, enhancing its digital infrastructure, along with Azure AI services, Azure OpenAI Service , and Azure Machine Learning Sweco developers found that Azure AI Studio made it easy for them to build generative AI applications.
  • “We are a company that uses a lot of Microsoft products, and we trust Microsoft for its security, compliance, and leadership in generative AI,” says Hunter.

Evidence from the source

It can save me up to two hours or more a day.” Consultants are also reporting increased productivity from the reduction or elimination of more mundane tasks, along with faster decision-making due to the improved ability to find and share the right documents.
To free up time for more creative solutions in client projects, Sweco used Microsoft Azure AI Studio to rapidly develop a digital assistant to automate document creation and analysis and enhance search capabilities across the enterprise’s global network.
To free up time for more creative solutions in client projects, the company knew it needed to provide a solution.
With the success of SwecoGPT for internal use, the company plans to expand its use of Azure AI Studio to support digital innovation and to create solutions to enhance the customer experience.
Transparency Evidence & methodology 65/100 reference value · 85% 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 value65/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    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 impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence85%
  • 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
    4 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 specificity6/10
    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

    Sweco Group customer story

    First-party
    https://www.microsoft.com/en/customers/story/1767395222127336377-swecogroup-azure-ai-services-professional-services-en-sweden
    Source type
    Vendor-published customer story
    Published
    May 11, 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 May 11, 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.

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