Skip to main content

      Every organisation talks about AI. Few know where to start, or how to scale

      The ambition is clear. AI and data should drive better decisions, sharper operations, and new sources of growth. But for most Nordic businesses, the gap between ambition and execution remains wide. Only 6% of Nordic companies have reached an advanced level of AI adoption. That is not a technology problem. It is a strategy and operating model problem.

      We work alongside leadership teams to close that gap. Not with slide decks that gather dust, but with concrete strategies and operational roadmaps that connect AI investments to real business outcomes.

      The challenge we see across industries

      Organizations invest in pilots. They experiment with generative AI. They hire data scientists. But without an enterprise-wide strategy, these efforts stay fragmented. Data sits in silos. Governance is unclear. Use cases compete for attention and budget, and leadership cannot tell which AI investments are creating value and which are consuming it.

      At the same time, the pressure is increasing. Competitors are moving. Regulators are tightening requirements. Boards are asking sharper questions about return on data and AI spend. Nordic companies are targeting roughly 27% of IT budgets towards data and AI by 2025, and every krone needs to count.

      Mads Galatius
      Mads Galatius

      Partner, Advisory

      KPMG in Denmark

      We can help you with:

      east

      A clear AI strategy anchored in business priorities

      We do not start with technology. We start with your strategic agenda, your competitive landscape, and the specific use cases where AI can create measurable value. Whether that is customer analytics in financial services, AI-driven patient pathways in healthcare, or predictive maintenance in manufacturing, the strategy must be rooted in what matters to your business.

      track_changes

      A target operating model that scales

      Knowing what to do with AI is one thing. Knowing how to organize for it is another. We help you design operating models, often built on proven hub-and-spoke structures, that balance central governance with local ownership. This means the right roles, the right decision rights, and the right accountability structures to move from experimentation to scaled deployment.

      gpp_good

      Data governance and architecture that earns trust

      AI is only as good as the data it runs on. We work with you to establish enterprise-wide data governance, quality frameworks, and architecture that make data a reliable, shared asset rather than a source of confusion and risk.

      format_list_bulleted

      A culture and capability plan that sticks

      Technology adoption without people adoption fails. We help you build AI-literate organizations through targeted upskilling, ambassador programmes, and leadership alignment. From the boardroom to the frontline, people need to understand not just how to use AI, but why it matters and what responsible use looks like.

      Our approach

      We bring a structured approach built on years of experience across industries and geographies. Our proprietary tools give us a common language to diagnose where you stand and a clear framework to define where you need to go. But tools are only as valuable as the people behind them.

      Our NewTech team in Denmark combines deep local market knowledge with access to the full strength of KPMG's global network. We have worked with financial institutions to build Big Data & AI roadmaps aligned with regulatory expectations. We have helped large enterprises design hub-and-spoke AI organizations that empower local teams while maintaining enterprise-wide standards. And we have guided public sector organizations through the complexities of responsible AI adoption.

      We are recognized by IDC as a leader in data, analytics, and AI strategy, specifically for our comprehensive frameworks and our commitment to treating data as a strategic asset. That recognition reflects how we work: always starting from the business outcome, always grounding recommendations in what is practically achievable.

      Why this matters now

      The window for building a strong AI foundation is narrowing. Organisations that invest in strategy and operating model design today will scale faster, govern more effectively, and capture disproportionate value from their AI investments. Those that continue to experiment without structure risk falling further behind.

      We do not believe in AI for AI's sake. We believe in AI that creates real, measurable value for your business, your people, and your customers. That starts with a strategy that is more than a document. It starts with a way of working.

      Relevant services

      Drive value through AI innovation by fostering trust, ensuring compliance, and aligning initiatives with ethical and regulatory standards.
      Discover more

      We deliver end-to-end services in GenAI – from identifying and ensuring you have the right level of data quality to building the software application.
      Discover more

      We drive AI adoption by training super users and managers to apply tools from Copilot and ChatGPT to new models like Mistral.
      Discover more

      Explore our insights on AI & data

      Your one-stop destination for AI insights, events, and services.

      Discover more
      Smart automation industry robot in action - industry 4.0 concept - 3D Render