Artificial intelligence is becoming increasingly capable of generating answers. However, in fields such as medicine, taxation, accounting, law and corporate compliance, producing an answer is only one part of the challenge.
Professionals also need to understand whether the answer is accurate, which sources support it and whether it can be relied upon when the consequences of an error may be financial, regulatory, legal or clinical.
That is the opportunity Wolters Kluwer has been building toward.
For decades, the company has accumulated assets that many AI companies do not possess: proprietary professional content, specialized domain expertise and deeply embedded relationships with the people responsible for making high-stakes decisions. Wolters Kluwer is now transforming that foundation into AI-powered software.
The result is a distinct AI strategy. Rather than competing primarily to build the most capable general-purpose model, Wolters Kluwer is focused on developing AI systems that professionals can use with confidence.
The Business Behind The Information
Wolters Kluwer operates across five major professional markets: Health, Tax & Accounting, Financial & Corporate Compliance, Legal & Regulatory, and Corporate Performance & ESG.
The company serves customers in more than 180 countries, operates in more than 40 countries and employs approximately 21,100 people. Its products combine professional information, software and services designed to support critical decision-making and improve productivity. (Wolters Kluwer)
This positioning has enabled Wolters Kluwer to build a business that is fundamentally different from a traditional publishing company.
Its information is increasingly embedded in recurring digital workflows. Accountants use its tax platforms, lawyers rely on its legal information and workflow systems, healthcare professionals use UpToDate for evidence-based clinical decision-making, and corporate finance teams use software such as CCH Tagetik.
As a result, the company controls an asset that is particularly valuable in the AI era: context.
A Business That Has Already Been Digitized
Wolters Kluwer’s AI transformation did not begin with ChatGPT.
The company had already spent years transitioning from printed publications to digital products, cloud-based software and recurring professional solutions.
That transformation has significantly changed the economics of the business.
In 2025, Wolters Kluwer generated €6.125 billion in revenue, compared with €5.916 billion in 2024. Organic growth reached 6%, while adjusted operating profit increased to €1.687 billion, resulting in an adjusted operating margin of 27.5%. Adjusted free cash flow reached €1.348 billion. (Wolters Kluwer)
The company reported that nearly 70% of its 2025 digital revenue came from AI-powered solutions, while digital products represented the overwhelming majority of total revenue.
That distinction is important.
Wolters Kluwer is not taking a legacy publishing business and simply adding AI to it. The company has already spent years converting professional information into software, cloud platforms and digital workflows.
AI is now becoming an additional intelligence layer built on top of that infrastructure.
Why Accuracy Matters More Than Speed
General-purpose AI systems are designed to be broadly useful across a wide range of tasks.
Wolters Kluwer operates in environments where breadth is often less important than precision, reliability and accountability.
A physician using clinical decision-support software cannot rely on an answer merely because it sounds plausible. A tax professional needs information that reflects current rules, a lawyer requires authoritative legal material, and a compliance professional must understand both regulatory requirements and their practical implications.
In these environments, hallucination is not simply a technical inconvenience.
An inaccurate answer can create business, financial, regulatory or clinical risk. For that reason, Wolters Kluwer’s AI strategy is built around proprietary, expert-curated content, governance and what the company describes as an expert-in-the-loop approach.
Its Expert AI products are designed to generate answers grounded in verified content while preserving traceability and transparency. (Wolters Kluwer)
The company’s fundamental proposition is therefore different from the promise of generic AI.
It is not simply:
Ask a question and receive an answer.
It is closer to:
Ask a professional question and receive an answer grounded in trusted expertise.
Expert AI Is The Core Bet
Wolters Kluwer refers to this strategy as Expert AI.
The concept combines advanced AI models with proprietary content, specialized domain expertise and professional workflows.
Rather than depending on a single AI model, the company uses multiple models and can select the most appropriate one for a particular task. The resulting outputs are grounded in Wolters Kluwer’s verified content. (Wolters Kluwer)
This creates an important strategic separation between the underlying AI model and the information layer.
The models themselves may evolve rapidly as the technology advances. Wolters Kluwer’s proprietary content, professional relationships, workflows and domain expertise are considerably more difficult to replicate.
That combination could become one of the company’s most important competitive advantages.
UpToDate Shows What This Model Looks Like In Healthcare
Healthcare is one of the clearest examples of why trusted AI matters.
Wolters Kluwer’s UpToDate platform has been used for years by healthcare professionals as an evidence-based clinical information resource.
The company is now adding generative AI to that established workflow through UpToDate Expert AI.
In its expanded 2026 collaboration with OpenAI, Wolters Kluwer stated that more than half of its U.S. Enterprise Edition customers, representing approximately 2,000 hospitals, had signed up to adopt the Expert AI version of UpToDate as of April 30. The company was targeting approximately 70% adoption by mid-year. (Wolters Kluwer)
The significance is not simply that an established medical database now includes an AI interface.
The more important point is that the AI is being introduced into an environment where users already trust the underlying information and understand how it fits into their professional workflow.
Wolters Kluwer is effectively combining three assets:
trusted medical content + professional workflow + AI interface.
That combination is considerably more difficult to reproduce than a standalone chatbot.
Tax And Accounting Are Following The Same Pattern
The same strategy is emerging in tax and accounting.
Wolters Kluwer’s CCH Axcess Expert AI brings generative AI into a cloud-based professional platform used by tax and accounting firms.
The objective is not to replace the professional. Instead, the platform is designed to reduce the time required to search, analyze and interpret complex information while keeping the user within a controlled and auditable workflow.
This distinction is crucial.
Wolters Kluwer is not positioning AI as an autonomous substitute for professional expertise. It is positioning the technology as an amplifier of that expertise.
This model could become increasingly important as professional firms face growing regulatory complexity, labor constraints and pressure to serve more clients without compromising quality.
FAB Is The Infrastructure Behind The Strategy
Developing AI products independently across dozens of software platforms would create significant technical and operational complexity.
Wolters Kluwer is therefore building its own internal infrastructure to standardize how AI is developed, evaluated and deployed across the organization.
That infrastructure is called Foundation & Beyond, or FAB.
FAB is a proprietary, model-agnostic AI enablement platform designed to support generative and agentic AI across Wolters Kluwer’s cloud solutions. It provides standardized capabilities for tracing, logging, tuning, grounding, evaluation and governance while allowing product teams to work with multiple AI models. (Wolters Kluwer)
The architecture is important because Wolters Kluwer operates across multiple professional markets, each with different requirements.
A healthcare AI system has different standards from a tax platform. A legal workflow involves different regulatory considerations from a corporate performance solution.
FAB provides a common technological foundation while allowing individual products to remain specialized.
That is what enables Wolters Kluwer to move from isolated AI experiments toward an enterprise-wide capability.
The AI Center Of Excellence
The company is also investing in the organizational infrastructure required to execute this strategy effectively.
Wolters Kluwer’s AI Center of Excellence brings together approximately 7,000 technologists with professional domain experts across the organization. The company says the initiative builds on more than 15 years of investment in AI and cloud technologies. (Wolters Kluwer)
This is an important component of the strategy because professional AI cannot be developed effectively by engineers alone.
An AI model may be capable of understanding language, but that does not mean it understands the practical consequences of a medical recommendation, tax interpretation or regulatory decision.
Domain experts provide the context required to determine whether an AI system is accurate, useful and appropriate for professional use.
Wolters Kluwer is therefore combining technological expertise with professional expertise rather than treating them as separate functions.
The OpenAI Partnership Expands The Model
In June 2026, Wolters Kluwer expanded its enterprise AI collaboration with OpenAI to accelerate the development of AI-native solutions for regulated professional environments.
The partnership combines OpenAI’s enterprise AI capabilities with Wolters Kluwer’s proprietary content, domain-specific workflows and governance framework. (Wolters Kluwer)
Strategically, the relationship illustrates how the AI market may develop.
Not every company needs to build its own foundation model. Specialized companies can instead combine leading general-purpose models with proprietary data, domain knowledge and specialized workflows.
For Wolters Kluwer, this means the value of the business does not depend entirely on owning the underlying model.
Its differentiation exists above the model layer.
The Moat Is The Content
AI models are becoming increasingly accessible.
Professional knowledge is not.
Wolters Kluwer has spent decades building and acquiring specialized information, developing editorial processes and establishing relationships with professionals across regulated industries.
That creates a form of intellectual infrastructure.
A general-purpose AI system can search the open internet, but Wolters Kluwer can provide a controlled environment built around content that has already been curated, reviewed and structured for professional use.
That difference becomes particularly important when reliability and accountability matter.
The company’s competitive advantage is therefore not simply its data.
It is the combination of data, curation, expertise, workflow and trust.
AI Is Also Changing Wolters Kluwer From The Inside
Wolters Kluwer is not only selling AI-powered products.
It is also using AI internally to improve its own operations.
The company has increased developer capacity through internal AI adoption within its Digital eXperience Group, while its broader strategy is designed to accelerate product development and improve productivity. (Wolters Kluwer Content Hub)
Wolters Kluwer plans to increase annual product development investment to 12–13% of revenue in 2026 and beyond, specifically to accelerate its AI strategy. (Wolters Kluwer)
This investment represents a meaningful shift in the company’s capital allocation priorities.
Wolters Kluwer is directing a larger portion of its economic engine toward software and AI development while seeking to preserve the profitability profile of its existing business.
The company expects its adjusted operating profit margin to reach approximately 28% in 2026, compared with 27.5% in 2025. (Wolters Kluwer)
The Economics Of A Professional AI Platform
The financial model behind Wolters Kluwer makes its AI strategy particularly compelling.
The company already generates significant recurring revenue from digital and software-based solutions. Its 2025 adjusted free cash flow reached €1.348 billion, while return on invested capital was 18%. (Wolters Kluwer)
This gives Wolters Kluwer the ability to continue investing in technology without having to rebuild its business model from the ground up.
The strategy is essentially a capital allocation decision.
Wolters Kluwer is taking a highly profitable professional information business and investing more of its revenue in software, cloud infrastructure and AI. The expectation is that these technologies will deepen customer relationships, increase retention, create new products and expand the markets the company can serve.
Wolters Kluwer explicitly identifies these opportunities as part of its AI strategy. (Wolters Kluwer Content Hub)
The Transformation From Publisher To Software Company
The most important part of the Wolters Kluwer story is therefore not AI itself.
It is the transformation that made AI strategically possible.
A company that once depended heavily on printed professional information has gradually become a digital software business with recurring revenue, cloud platforms and embedded workflows.
AI is the next stage of that evolution.
This matters because the best-positioned companies in enterprise AI may not necessarily be the ones with the most powerful models.
They may be the companies that already control the workflows in which those models are used.
Wolters Kluwer controls many of those workflows.
The Risk: AI Can Also Undermine The Information Business
There is, however, a fundamental strategic tension.
The same technology that increases the value of Wolters Kluwer’s content could also make professional information cheaper and easier to access.
AI can summarize regulations, explain tax rules, compare legal documents and answer medical questions.
If professionals can obtain sufficiently reliable information from general-purpose AI systems, the value of specialized information providers could eventually come under pressure.
Wolters Kluwer therefore cannot simply protect its existing content business.
It must make its AI products sufficiently valuable, reliable and integrated into professional workflows that customers prefer them over generic alternatives.
The company’s answer is trust.
Its argument is that professionals do not simply need information. They need verified information integrated into the workflows where important decisions are made.
That distinction could become one of the defining competitive questions in professional AI.
What Wolters Kluwer Is Really Selling
At first glance, Wolters Kluwer sells software, information and professional services.
At a deeper level, however, the company sells something more valuable: confidence in decisions.
A physician wants confidence that clinical information is reliable. An accountant wants confidence that a tax interpretation is correct. A lawyer wants confidence that the information supporting an argument is authoritative.
A compliance professional, meanwhile, wants confidence that the organization is operating within the applicable rules.
AI can make these professionals faster and more productive.
However, speed only creates value when the underlying answer can be trusted.
That is the strategic space Wolters Kluwer is trying to occupy.
Why Wolters Kluwer Matters
The AI industry is often described as a race toward increasingly capable models.
Wolters Kluwer represents another possibility.
The future of AI may also be shaped by companies that combine powerful general-purpose models with proprietary information, domain expertise, governance and specialized workflows.
In these environments, accuracy becomes part of the product.
Trust becomes part of the technology.
Content becomes infrastructure.
Wolters Kluwer has spent decades building the information and professional relationships required for this model.
It is now adding the intelligence layer.
The company does not need to build the world’s most powerful AI model to participate in the AI economy.
It needs to build AI that professionals trust when the cost of being wrong is too high.
That may ultimately be the more valuable market.
Market Snapshot
Company: Wolters Kluwer N.V.
Founded: 1836
Headquarters: Alphen aan den Rijn, Netherlands
Industry: Professional Information, Software & AI
Employees: Approximately 21,100
Countries Served: 180+
FY2025 Revenue: €6.125 billion
FY2025 Organic Growth: 6%
FY2025 Adjusted Operating Profit: €1.687 billion
FY2025 Adjusted Operating Margin: 27.5%
FY2025 Adjusted Free Cash Flow: €1.348 billion
2026 Adjusted Operating Margin Guidance: Approximately 28%
2026 Product Development Investment: 12–13% of revenue
AI-Powered Digital Revenue: Nearly 70%
CEO: Stacey Caywood
