Wolters Kluwer, a global leader in professional information, software solutions, and services, 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. This is a summary of the “Investor Teach-In: Artificial Intelligence – December 2025” presentation. CEO Nancy McKinstry, Board Member Stacey Caywood, Head of Advanced Technology Alex Tyrrell and Health Division CEO Greg Samios among others gave the following overview and showcased how enterprise Wolters Kluwer Expert AI helps customers make better decisions, faster when they have to be right.
Strategic Foundations: Building for Trust and Innovation
Wolters Kluwer’s competitive edge in AI is underpinned by several key strengths:
- Trusted, Proprietary Data: The company maintains 100% proprietary content databases, ensuring accuracy and trust across all verticals.
- Deep Domain Expertise: Subject matter experts and a rigorous process for updating content reinforce the reliability of AI-powered solutions.
- Technology Excellence: Early and continuous investments in cloud, APIs, and AI have created a robust platform for rapid innovation.
- Customer-Centric Design: Solutions are developed in close collaboration with customers, integrating deeply into professional workflows.
- Strong Governance: The company upholds the highest standards of cybersecurity, data privacy, and responsible AI principles.
Evolution of AI: From Traditional to Agentic Intelligence
Wolters Kluwer’s AI journey reflects the broader evolution of the technology:
- Traditional AI/ML: Early solutions focused on narrow, rules-driven tasks such as fraud scoring and document digitization.
- Generative AI (GenAI): The adoption of large language models (LLMs) enabled content generation, summarization, and single-turn interactions.
- Agentic AI: The latest phase introduces autonomous agents capable of planning, orchestrating, and executing multi-step workflows.These agents interact with systems on behalf of users, often with a “human-in-the-loop” for oversight, transforming traditional processes into scalable, parallel workflows.
The Digital eXperience Group (DXG) and the FAB Platform
Central to Wolters Kluwer’s AI innovation is the Digital eXperience Group (DXG), a centralized product development team supporting all divisions. Key features include:
- Cross-Divisional Collaboration: DXG enables faster innovation, standardized technology, and shared best practices.
- AI-Enablement Platform (“FAB”): This proprietary platform provides standardized AI components, governance, scalability, and adaptability. It simplifies AI governance and compliance, accelerates time to market, and allows for the integration of emerging AI capabilities.
Expert AI: Solutions by Experts for Experts
Wolters Kluwer’s “Expert AI” approach is distinguished by:
- Expert-in-the-Loop: AI solutions are developed and validated by domain experts, ensuring trustworthy and explainable outputs.
- Standardized Processes: Common workflows across verticals allow for rapid scaling and consistent quality.
- Multi-Layered Intelligence: Solutions like UpToDate® Expert AI employ multiple LLMs, agentic orchestration, and expert validation to deliver safe, accurate, and effective answers.
Real-World Applications: Tax & Accounting and Health
Tax & Accounting: CCH Axcess™ Suite
- Cloud-Native, AI-Enabled: The CCH Axcess platform integrates tax, audit, and firm data, embedding Expert AI into workflows for explainable, auditable, and secure automation.
- Agentic-Ready: The platform orchestrates processes across modules, automates document classification, and provides proactive insights for advisory opportunities.
Health: UpToDate® Expert AI
- Clinical Decision Support: UpToDate leverages AI to synthesize evidence-based clinical information, providing point-of-care guidance validated by over 7,600 medical experts.
- Expert Judgment: The expert-in-the-loop model ensures that nuanced, high-stakes medical decisions are supported by both AI and human expertise.
- Integrated Workflows: The solution is deeply embedded in electronic health records (EHRs), pharmacy systems, and care platforms, enhancing clinical outcomes and operational efficiency.
Responsible AI
Wolters Kluwer is committed to responsible AI, emphasizing transparency, explainability, and compliance.
Conclusion: AI as a Driver of Growth and Value
Wolters Kluwer’s approach to AI is holistic, integrating technology, expertise, and customer-centricity to deliver trusted, innovative solutions. By continuously investing in AI and cloud technologies, fostering cross-divisional collaboration, and maintaining a strong governance framework, the company is well-positioned to capture AI-driven opportunities and drive future growth.
