APRIL 30 2026
AI is already reshaping how companies compete and how they are valued. For most businesses, the question is no longer whether to adopt it but whether they have what it takes to make it work in practice. That depends on the quality of the underlying data, the depth of domain expertise and the ability to build AI into how the organisation actually operates, rather than running it as a separate initiative alongside the business.
Nordic Capital's portfolio companies are well placed on all three. They operate in regulated, data-intensive industries where proprietary knowledge and mission-critical workflows create the conditions for AI to produce durable results. The work to realise that potential has been underway for several years.
Results already visible across the portfolio
The impact is measurable. More than 20 portfolio companies already have AI embedded directly into their products. Across healthtech and technology and payments, agentic software development is moving from isolated use cases into the core of how products are built and how businesses operate.
Zafin doubled its development productivity in 2025 after adopting agentic workflows. ArisGlobal uses machine learning to streamline regulatory processes for pharmaceutical companies, cutting lead times in an environment where speed has direct commercial value. Siteimprove applies agentic AI to automate digital content analysis and compliance, with its solution selected for presentation at AWS re:Invent in 2025. Foxway uses machine learning and proprietary device image data to improve accuracy in its circular technology platform. Boost.ai was named a Leader in the 2025 Gartner Magic Quadrant for Conversational AI Platforms.
What makes implementation work
Results at this scale are the product of a structured way of working. Nordic Capital runs AI maturity assessments across the full portfolio, including direct management interviews, to identify where each company stands and where the highest-value opportunities lie. That assessment feeds directly into execution.
The first cycle of AI adoption was largely about identifying tools that could fit specific processes. The second cycle is a different conversation. It is about connected workflows, data infrastructure and building AI into something durable rather than accumulating a set of useful but disconnected applications. Portfolio companies are supported through shared frameworks, recommended tooling and a peer community of more than 100 chief technology, product and information officers who exchange experience across the portfolio.
The Nordic Capital operations advisory team works directly with management on strategy and execution. Specialist expertise is available across technology, data and AI, and nearshoring capabilities allow companies to scale development capacity when the opportunity calls for it. What this creates is a shorter distance between identifying an opportunity and acting on it, and a higher likelihood that implementation produces the intended result rather than stalling at the pilot stage.
Where this leads
Companies that build AI into their core operations rather than running it as a parallel initiative tend to see the impact compound over time. Early improvements in one area make it easier to expand into adjacent workflows. Productivity gains free up capacity for higher-value work. Products that embed AI become more differentiated and harder to displace.
That progression is what Nordic Capital's ownership model is designed to support, and what the results across the portfolio are beginning to reflect.