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      Artificial Intelligence (AI) is no longer a futuristic concept - it’s a transformative force driving change across industries today. AI refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intellect - such as problem-solving, recognizing patterns, making decisions and generating new content. AI technologies range from rule-based algorithms to more advanced methods like machine learning, hyperautomation, robotic process automation (RPA), and generative AI.

      From chatbots and virtual assistants to advanced data analytics and predictive models, the applications of AI span across industries and offer businesses unprecedented opportunities to enhance efficiency, creativity and decision-making. With the rise of cloud computing, big data, and advanced algorithmic design, AI is no longer limited to isolated use cases. Developing a clear AI strategy is becoming essential to ensure that these technologies are implemented effectively and responsibly.

      The advantages of AI are considerable. By automating routine processes, businesses can reduce costs and increase productivity. Decision-making becomes faster and more informed when supported by data-driven insights. AI also opens new possibilities for innovation, allowing organizations to create entirely new products and services. Furthermore, systems powered by AI can scale rapidly to meet growing demand and deliver personalized experiences at scale.

      But with these benefits also come challenges. These include managing AI risks, ensuring compliance with AI ethics and regulation such as the EU AI Act, and integrating AI responsibly into business processes. Another concern is data quality, as the effectiveness of AI models depends heavily on the data they are trained on. Securing a robust data platform and good data governance is essential to harvesting the full potential of AI. 

      For organizations looking to stay relevant in an increasingly data-driven world, understanding what AI is, how it works, and what it can enable is the first step. Businesses must assess their readiness, identify high-impact use cases, and plan for responsible implementation of AI solutions.

      Bent Dalager

      Innovation Lead & Partner, Advisory

      KPMG in Denmark


      Our insights on AI & Data

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      Key areas within AI & Data

      AI holds immense promise to expand the horizon of what is achievable and to impact the world for our benefit — but managing AI’s risks and potential known and unknown negative consequences will be critical, especially in terms of regulations. 

      One of the biggest challenges is that many organisations using AI don't fully understand how AI is applied across their operations. This lack of clarity makes it difficult for them to stay compliant with the requirements of the AI Act and leaves many unsure whether their tech systems are even covered by the Act.

      The EU's AI Act, which will take full effect in 2026, aims to strike a delicate balance, fostering AI adoption while upholding individuals' rights to responsible, ethical, and trustworthy AI use. It has extensive legal reach and significant impact on those involved, as it will affect both providers (developers) and deployers (users) of AI systems. Employers, considered as deployers of AI, will also be subject to the obligations outlined when implementing systems in the workplace.

      We know that understanding the full grasp of the AI Act is tricky; using AI in a responsible and ethical way – even more so. We can help you bridge the gap between legal requirements, technical know-how, and practical implementation, ensuring compliance and robust governance. 

      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. 

      Success with AI requires a clear strategy, strong governance, and an operating model that aligns AI solutions with core business priorities. It’s about moving beyond isolated experiments to embed AI at the heart of the organization while driving efficiency and innovation.

      By establishing a solid foundation - defined by clear processes, roles, governance structures, and enabling technologies - organizations can scale AI beyond proofs of concept to achieve enterprise-wide impact and sustained competitive advantage.

      We help organizations design and implement AI strategies and operating models that deliver measurable results. Leveraging KPMG’s AI Target Operating Model Framework, we enable businesses to build future-ready AI capabilities that foster innovation, enhance decision-making, and unlock long-term value.

      Unlocking the potential of AI is one of the most critical challenges organizations face today. However, many fall into the trap of believing that value can only be achieved by building entirely new solutions. This often leads to an overemphasis on technical implementation, while overlooking the organizational processes and human dynamics essential for success.

      As a result, there's frequently a disconnect between the technology and the actual needs of the business. This misalignment can cause inefficiencies, underutilized resources, and ultimately, failure to deliver the intended outcomes. Without careful integration of technology with organizational workflows and culture, even the most advanced AI solutions may fall short of delivering real business value.

      Our ValueCapture team support AI adoption by training super users and managers to effectively leverage tools like Microsoft Copilot, ChatGPT, and emerging models such as Mistral. We help ensure that both employees and leadership build the skills required to support a scalable AI initiative—one that is aligned with business objectives and delivers measurable value.

      Generative AI, the next generation of artificial intelligence, has the potential to be the most disruptive technology since the internet. The resulting changes will impact the data-intensive tax function sooner than most other areas. The skills and expertise of tax professionals combined with GenAI tools are a key success factor for the transformation of tax processes in the near future.

      We unlock the future of tax by integrating Generative AI into everyday processes. Making room for better decisions and bigger impact.



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