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      Numerous companies are at the forefront, pioneering ambitious plans to harness the power of new technologies, revolutionising the way business is conducted. At KPMG, we share this vision, actively contributing to this technological evolution. Our mission is to enlighten, guide and implement new ways of working through Data & AI technologies to create a better world.

      In NewTech, we are dedicated to assisting our clients on their Data & AI journey, providing comprehensive support across a wide range of emerging technologies, including generative AI, machine learning, quantum computing, and hyperautomation. We also bring deep expertise in data engineering, data management, low-code solutions, and more. Since 2016, we've been at the forefront of innovation, delivering successful projects and earning the trust of delighted clients — and we're confident in our ability to support and enhance your company.

      To ensure organisations realise the full potential of these technologies, we apply our ValueCapture method—a proven approach that transforms AI adoption into measurable business results. We help both employees and leadership build the right skills, and we lay the foundation for scalable AI initiatives that drive lasting value.

      Every business holds the potential to become data-driven, scalable, and digital. Through our NewPractice methodology, we radically restructure and digitalise business processes. By leveraging intelligent automation, we design zero marginal cost operations with instant service delivery and infinite scalability—fundamentally changing the rules of competition.

      Jens Krenk

      Partner, Advisory

      KPMG in Denmark


      We turn AI Implementation into scalable success

      From uncovering your current state and needs to embedding AI across your organization, we ensure your AI implementation delivers lasting success. Our solutions include:

      GenAI Adoption starts where proofs of concept end: turning novelty into routine. Adoption is the pre-condition for value - without daily usage, even brilliant models remain shelf-ware. We monitor progress on two fronts.

      Individual adoption: Are employees actually using the tools? In concise “AI-Influencer” workshops we spot early champions and craft micro-use-cases - marketers autogenerating copy, analysts summarizing dashboards, designers accelerating ideation - so every participant sees an immediate, role-specific payoff. Guided sprints reinforce best practices, provide guardrails, collect success metrics, and seed a peer community of practice, anchoring GenAI exploration to personal performance targets and career growth.

      Process-level adoption: GenAI must also live inside the workflows that run the business. Together with process owners we dissect high-volume tasks - ticket routing, contract review, product ideation - and re-engineer them with models embedded in the systems teams already open each morning. We co-create integration blueprints (APIs, decision checkpoints, governance layers), quantify business cases, and plan phased rollouts, tying KPIs to team OKRs. Continuous-improvement loops safeguard reliability, compliance, and expanding ROI.

      By synchronizing individual behavior with redesigned workflows, our adoption program converts curiosity into repeatable impact - driving consistency, speed, and quality while laying the foundation for sustainable, organisation-wide AI transformation.

      Our AI Discovery process begins with value exploration, where we identify high-impact, strategic use cases tailored to the client’s business. Through a vision workshop, we guide leadership teams to think in terms of “NewPractice”: What technologies exist? What use cases are most relevant? The NewPractice mindset enables radical process transformation, grounded in an AI-first approach.

      We are technology-agnostic, always starting with the client’s current setup. Our goal is to find the right match between business needs, available technology, and strategic potential. Based on our findings, we provide clear recommendations and help prioritize which use cases to move forward with. Next, we run execution workshops to dig deeper: What do we want to achieve? Who is affected? What are the risks? What’s the business case? This sets a solid foundation for moving into implementation and scaling AI solutions.

      Client drivers vary - from the need to scale fast, reduce time-to-market, or meet board-level pressure to “do something with AI.” It’s not always about saving costs - often, it’s about unlocking new ways of working.

      AI Discovery helps our clients take the first step by making AI concrete, relevant, and executable, all backed by a business case and a clear roadmap.

      Our AI implementation is more than just your classic advisory approach. Through close dialogue with you and your specific business needs and concerns, we leverage our expertise in machine learning and data engineering, cloud computing and infrastructure to tailor a solution that seamlessly integrates with your existing system architecture and data landscape.

      Our technology agnostic approach ensures we are up to speed on the product suite of multiple vendors, all while being open for building bespoke AI solutions to help you automate existing workflows, orchestrate enterprise-scale processes or even build new business based on your existing data.

      We are curious by nature and by combining our AI-specialized business analysts with our developer competences, we ensure to ask the right questions, find the right product-market fit and support your organization with building new everyday operations surrounded by AI applications. 




      Enablers to scale AI succesfully

      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.

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      At KPMG, we help organizations design and implement AI strategies and operating models that drive measurable impact. By leveraging our AI Target Operating Model, organizations can succeed in building future-ready AI capabilities that foster innovation, accelerate decision-making, and unlock sustainable competitive advantages.

      With deep experience and a proven framework, KPMG helps organizations take a holistic and structured approach to Master Data Management — from analysis and design through to implementation — enabling clients to realize real business value from their data.

      Modernizing your data platform involves many factors, but our approach keeps business value as the guiding priority. We can help you with everything from program initiation to platform selection and value realization.

      As AI adoption accelerates, regulatory frameworks introduce new expectations for transparency, accountability and compliance. Organisations must implement strong AI governance structures to ensure ethical AI deployment while maintaining business agility.

      At KPMG, we help organisations navigate AI regulations and establish governance frameworks that foster responsible AI innovation.

      Our team is well-equipped to advise on best-fit ESG reporting solutions through tailored ESG tooling comparisons. Based on what’s right for your organization, we can also leverage our technical expertise to implement a range of best-in-class ESG reporting solutions

      Our Products division offers AI-focused software and solution architecture products, including Optomo, our latest initiative designed to maximise your RPA investments. 



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