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      Every organization talks about AI. Few have turned that ambition into real business value


      Organizations need more than AI ambition to create lasting impact. At KPMG, we help organizations turn AI, data, and intelligent automation into scalable business solutions that improve decision-making, increase efficiency, and accelerate innovation.

      We work alongside leadership teams, technology functions, and frontline employees to close the gap between AI potential and measurable impact. From generative AI and machine learning to hyperautomation, data platforms, and emerging technologies such as quantum computing, we combine strategic clarity, technical depth, and people-focused transformation to help organizations make AI work at scale.

      Through our proven ValueCapture approach, we help organizations move from experimentation to enterprise adoption, creating measurable value for your business, your people, and your customers.

      We do not believe in AI for AI’s sake. We believe in AI that creates real value for your business, your people, and your customers.



      Jens Krenk

      Partner, Advisory

      KPMG in Denmark


      Enablers to scale AI successfully

      Scaling AI successfully requires a strong foundation of key enablers, including good data governance, a strong data platform, ethical frameworks, and regulatory compliance. A clear strategy and a robust operating model ensure responsible and scalable AI adoption.

      Build a scalable AI Strategy & Operation Model

      We help you build the strategic foundation to move from isolated experiments to enterprise-wide, value-driven AI operations. Rooted in your business priorities, not in technology for its own sake.

      • Define a clear AI strategy anchored in business priorities and measurable value

      • Identify and prioritize strategic high value AI use cases

      • Design a scalable AI operating model 

      • Establish data governance and architecture to enable trusted AI

      • Build a clear roadmap that connects AI investments to concrete business outcomes

      • Develop organizational capabilities through leadership alignment, upskilling, and AI literacy programs

      • Monitor and govern AI initiatives to ensure responsible use and measurable return on investment 

      Turn your data into business value with a modern AI data platforms and architecture

      We design and build the entire platform, from a modern data foundation through scalable machine learning operations to enterprise-grade generative AI. One integrated architecture, built to power what comes next.

      • Design a modern, scalable data platform ready for AI

      • Consolidate fragmented data into a trusted, governed cloud data foundation

      • Build production ready MLOps environments on Azure and Databricks 

      • Deploy secure and governed generative AI platforms connected to enterprise data

      • Establish platform governance covering security, cost control, and regulatory compliance

      • Deliver architecture blueprints and roadmaps ready for immediate implementation

      Design and implement scalable AI solutions across your organization

      We take AI from idea to production. Across no-code, low-code, and pro-code platforms, we choose the right approach for each use case and deliver solutions that work in the real world, not just in a demo.

      • Identify and prioritise AI use cases with clear business value

      • Deploy AI using the right mix of no code, low code, and pro code platforms

      • Build and integrate generative AI assistants, chatbots, and intelligent automation 

      • Operationalise AI solutions within existing systems and workflows

      • Upskill teams to operate, maintain, and scale AI solutions

      • Scale successful AI solutions from pilot to enterprise wide deployment

      Unlock the full value of AI across your workforce with AI adoption and ValueCapture

      Technology without adoption is expensive shelfware. Our proven ValueCapture method delivers measurable productivity gains by changing how your people actually work with AI, from the boardroom to the frontline.

      • Accelerate AI adoption across the organisation

      • Measure productivity, quality, and employee impact to track real value creation

      • Drive adoption through AI ambassadors, influencers, and leadership alignment 

      • Build practical AI capabilities through hands on workshops and hackathons

      • Redesign processes to unlock productivity through intelligent automation and A

      • Establish a structured pipeline from AI ideas to scalable solutions

      Reimagine your processes through Intelligent Automation with NewPractice

      We reimagine your processes from AI outward, not from legacy inward. Our NewPractice methodology redesigns end to end workflows around the full spectrum of AI and automation, delivering 30 to 100 percent automation where traditional approaches plateau at 15. This is how you become a Frontier Firm.

      • Identify high impact processes with significant automation potential

      • Redesign end to end workflows using AI, automation, and digital technologies

      • Apply the NewPractice methodology to rethink processes from outcome to execution 

      • Build and deploy automated solutions on existing enterprise platforms

      • Deliver automation rates of 30 to 100 percent across key processes

      • Develop implementation roadmaps for scaled automation

      • Enable human and AI collaboration through intelligent workflows 

      Build Trustworthy AI in the nordic regulatory landscape

      We help you scale AI without losing control. From EU AI Act compliance and governance frameworks to responsible deployment of agentic AI, we build the trust that makes faster adoption possible.

      • Assess AI risks and regulatory exposure across your organisation

      • Develop compliance strategies aligned with EU AI Act, GDPR, and sector regulations

      • Establish enterprise wide AI governance frameworks and accountability structures 

      • Create a complete inventory and documentation of AI systems

      • Implement policies and controls for responsible AI development and deployment

      • Ensure transparency, explainability, and fairness in AI decision making

      • Build monitoring, security, and risk management for AI systems in production 

      • Provide independent assurance of AI systems and governance frameworks



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