Technological innovation has been the single most disruptive force over the past 10 years, according to CEOs in 2024. AI is suddenly everywhere. And 99% of the organisations we surveyed in the Global Tech report have started experimenting with AI, with some scaling it in production.
At KPMG in Denmark, we have been working with AI for the past 10 years. We have supported clients in the Financial Services, Life Sciences, Telecommunications, and Transportation sectors – to name a few - with automation, machine learning, quantum inspired optimisations (QIO), data governance and structure, compliance and regulation, cyber security and more. We have more than a decade’s experience in accompanying our clients in their digital transformation, by putting the humans first and seeing sustainable results.
There are many benefits to AI that are widespread across industries:
Cost savings through automation and optimisation
Forecasting analysis
Enhanced productivity and quality, leading to faster decision-making
Better risk management and regulatory compliance
Faster innovation and competitive edge
Our goal is to help you generate and harvest the benefits of AI while navigating the complexities of regulatory requirements and ensuring compliance every step of the way. From mitigating risk to scaling beyond incremental changes, we address some of the most pressing issues organisations face today and show how we can support you in all aspects of AI use.
In today’s complex regulatory environment, businesses face growing challenges to maintain compliance with an ever-evolving set of standards, including the NIS2 Directive (Network and Information Security), the Digital Operational Resilience Act (DORA), GDPR (General Data Protection Regulation), and other data privacy laws. These regulations require organisations to enhance their cybersecurity, operational resilience, and data protection measures, making compliance a top priority—but also a daunting task.
AI offers cutting-edge solutions to help companies not only meet, but exceed compliance requirements. With its ability to automate compliance processes, detect risks, and adapt to regulatory changes in real-time, AI is a crucial tool in ensuring continuous adherence to laws such as NIS 2, DORA, and GDPR. Some of its benefits include:
Data privacy management
Efficient incident responses
Automated monitoring and threat detection
And more
We understand that compliance and data privacy are not just legal obligations – they are integral to maintaining your organisation's reputation and customer trust. With our tailored strategies and industry expertise, we can help you navigate this complex landscape from analysis to successful implementation and prevention.
Contact Hans Jørgen Andresen, Mads Jæger or Jesper Kaasgaard to learn more.
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 thanks to our Trusted AI framework, ensuring optimal performance and robust governance.
Contact Bent Dalager, Jens Krenk, or Lena Ernlund Malmberg to learn more.
99% of companies have started their journey with AI, yet only 31% have scaled it in production, according to our latest Global Tech report. So how do you go from PoC to AI integration? Scaling a large company with the help of AI involves leveraging both advanced technology and strategic approaches that integrate human expertise with automation.
One way to integrate human expertise with automation is through our NewPractice approach, where AI and technology enable a process and humans support along the way, instead of the other way around. This mindset and process shift allows to scale and transform businesses to deliver more than incremental changes.
We provide several key services designed to assist organisations in this process, particularly focusing on enhancing efficiency and innovation – and taking their scaling to the next level:
- Operational Efficiency & Cost Reduction: AI systems can streamline processes, improve supply chains, and make more accurate predictions in areas such as demand forecasting, pricing strategies, and customer behavior analysis.
- Human-Centric AI: Scaling with AI also involves empowering employees and integrating AI in a way that enhances, rather than replaces, human capabilities. We provide AI training for employees to achieve a faster AI adoption and to derive the full value of AI.
- Machine learning and quantum-inspired solutions: Through the analysis of extensive datasets, machine learning algorithms can discern patterns and generate valuable insights, aiding organisations in making data-driven decisions. Quantum-inspired solutions transform organisations by solving complex problems faster and more efficiently than traditional methods, and is especially relevant for financial services, logistics, pharmaceuticals and biotech research.
- Transforming functions: from the CFO function to Legal departments, we help you review and transform your operating model by identifying opportunities, improving processes and integrating technology and AI to build a competitive advantage.
No matter which industry you work in, don’t miss out on the scaling AI can provide – we help you every step along the way.
Contact Bent Dalager, Jens Krenk or Lena Ernlund Malmberg to learn more.
Work smarter, not harder. The age-old adage rings especially true today with the massive deployment of Generative AI (GenAI) — your artificial brain — across organisations. According to our Global Tech report, 88% of tech executives report that automation and AI, including GenAI, have had a positive impact on profitability. And despite widespread concerns about AI taking over jobs, we would argue that AI is a job maker. This is backed up by the fact that 76% of global CEOs don't believe AI will reduce the number of jobs within their organisations. Instead, they see AI as a tool for transformation, with the workforce needing to adapt to fully harness its potential.
However, many organisations get blinded by the traditional belief that they need to build something new to deliver this kind of value. Often, they focus heavily on technical implementation, neglecting the organisational processes and human interaction needed to align AI with business goals. This often leads to misalignment between the technology and the actual needs of the business, resulting in inefficiencies, underutilisation of resources, and failure to achieve the intended outcomes. Neglecting the critical interplay between technology and people means that AI solutions may be technically sound, but ultimately fail to deliver the desired business value.
So how do you unlock the value of GenAI? We have developed a methodology, the KPMG AI ValueCapture method, that prioritises the human aspect of technology, ensuring that AI serves as a powerful tool to enhance, not replace, human capabilities. Our method delivers engaged and excited people, readiness for AI superpowers at scale, and an AI-structured way to identify the right AI use cases your company needs to move forward.
Contact Jens Krenk, Casper Guldager or Line Nørgaard to learn more.
Data both drives and sustains digital transformation. And it has a key role to play in the adoption of AI.
According to our Global Tech report 2024, AI is already living up to the hype, with the majority of executives confirming they have already achieved business value from AI systems. But to maintain momentum, organisations should reinforce their data management foundations. As AI Proof of Concept (PoC) experiments are scaled up to production level, data integrity and reliability will dictate whether these innovations result in breakthroughs or costly setbacks.
And the difference between breakthroughs and costly setbacks relies on good and structured data.
- Effective data governance saves money and boosts accuracy, justifying its complexity.
- Good data governance offers long-term savings and efficiency.
- GenAI can enhance transparency and scalability in your data insights while ensuring compliance.
We help you develop tailored data strategies that link business goals to data assets, ensuring that your data is accessible, is of high-quality, and analytics-ready. Our expertise includes everything from modernising data architecture to applying advanced analytics, AI, and machine learning to extract insights. Additionally, we also support you in your cultural transformation by fostering a data-driven mindset across your organisations to ensure long-term success.
Contact Jens Krenk, Mads Jæger or Mads Galatius for at høre mere.
