Wolters Kluwer’s Expert AI solutions help professionals work faster and make smarter decisions, powered by trusted, expert-curated content. Built with the latest AI technologies, these products deliver advanced features
that customers can rely on with confidence.
What sets our solutions and products apart is proprietary content curated by experts, for experts— combined with a privacy-by-design architecture and model grounding that rigorously protects user data. This makes our AI not only powerful, but trustworthy.
Expert AI is a core part of Wolters Kluwer’s broader AI strategy that is grounded in more than a decade of AI investment and innovation. It combines deep domain expertise, responsible AI principles, and close collaboration with customers and technology partners to deliver transformative solutions across healthcare, tax and accounting, legal and regulatory, financial and corporate compliance, corporate performance, and ESG.
Wolters Kluwer's approach and innovation in artificial intelligence
Wolters Kluwer has positioned artificial intelligence (AI) at the core of its digital transformation. The company’s AI strategy is built on a foundation of trusted, proprietary content, deep domain expertise, and a commitment to responsible, customer-centric innovation. This article explores how Wolters Kluwer leverages AI to drive value, enhance productivity, and deliver expert solutions across its verticals.
In this “Investor Teach-In: Artificial Intelligence” presentation, CEO Nancy McKinstry, Board Member Stacey Caywood, Head of Advanced Technology Alex Tyrrell, and Health Division CEO Greg Samios gave the following overview and showcased how enterprise Wolters Kluwer Expert AI helps customers make better decisions, faster when they have to be right.
Wolters Kluwer brings global AI leaders together to shape the future of enterprise innovation
Focus on responsible AI
Our customers can trust reliability, as well as depend on the ethical and responsible use of AI in our solutions.
Wolters Kluwer AI Principles
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How can our customers trust our content?Our LLM models only use content and proprietary data our clients can trust because it’s curated by experts, built over the years with significant domain knowledge, setting us apart from the competition.
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How do we prevent hallucination?In order to prevent hallucination, we use a technique called model grounding. Here, LLMs are allowed to reason, assist in tasks and use their latent understanding of relationships and patterns gleaned from troves of public information. However, we do not allow the LLM to create its own assertions or introduce facts or rely on what we call “model knowledge” – aka facts it may have learned during training on public content. Facts and information are supplied to an LLM only from our trusted and verified sources. The LLM is allowed to synthesize our facts into assertions by using their deep knowledge of language and their extensive understanding of relationships and patterns from the real world – but we don’t purposefully glean factual information from LLMs. As an example, one of the most common patterns used for model grounding in the industry is a technique called retrieval augmented generation (RAG).
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How do we safeguard our (proprietary/customer) data?We use a number of controls and guardrails to ensure no IP or private data is “leaked” to an LLM. We do not train or pre-train LLMs using customer or sensitive and confidential data. We have strict policies in place with LLM providers around data retention, logging, and encryption to ensure content is protected. We also have a governance review process to ensure no sensitive, confidential or personal/private information is used with AI in an inappropriate way. We follow all local regulations related to AI and privacy in the markets we operate.
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Where do we store our data?Data is stored in our traditional repositories and databases. This data does not move or interact with LLMs or AI models without careful governance. We adopt a “privacy and security by design” approach keeping separation between AI/LLMs and sensitive, confidential or private data.
Featured Artificial Intelligence Solutions
Wolters Kluwer continues to lead in the development and deployment of artificial intelligence, integrating both Generative AI (GenAI) and Agentic AI into its expert solutions to help customers make better-informed decisions faster and speed up their workflows. With over a decade of AI investment and innovation, the company’s approach is grounded in deep domain expertise, responsible AI principles, and close collaboration with customers and technology partners. By embedding AI into its cloud-based expert solutions, Wolters Kluwer is not only transforming customer workflows but also reinforcing its position as a trusted partner in critical domains such as healthcare, legal, tax, banking and finance.
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Latest Artificial Intelligence News
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Wolters Kluwer AI Strategy
Wolters Kluwer’s AI strategy combines innovation, deep domain expertise, and customer-centric design to deliver reliable, trustworthy transformative solutions across healthcare, legal, tax, finance, and ESG domains. Want to learn more, reach out to us!