Länsförsäkringar (Sweden)
Länsförsäkringar’s AI chatbot shows both the promise and complexity of generative AI in a regulated insurance environment. With strong guardrails, validation and tone controls, it now handles around 80% of customer interactions while also supporting internal knowledge use. The case underlines the importance of governance, data quality and organisational readiness.
Univé (Netherlands)
Univé has taken an organisation-wide approach to AI, focusing on broad employee adoption rather than isolated technical projects. Its experience shows that AI requires process redesign as well as strong data foundations, governance and leadership support. Key lessons include embedding AI across teams and investing early in infrastructure and adoption.
Unipol (Italy)
Unipol’s enterprise-wide AI programme combines top-down prioritisation with bottom-up ideation to identify high-value use cases. The insurer is scaling reusable capabilities such as summarisation, document parsing and chatbot tools, while also exploring more advanced human–AI workflows. Its approach highlights the value of structured prioritisation, reuse and strong governance.
Wawanesa (Canada)
Wawanesa has embedded AI into daily operations and treats it as a core workforce capability, supported by training and AI champions. The insurer is focusing on data readiness, content quality and practical business use cases, including productivity gains in software development. Its experience shows the importance of integrating AI into normal planning and governance processes.
Speakers:
- Martin Björkman, Head of Data Science, Länsförsäkringar (Sweden)
- Jeroen Heerspink, Innovation Manager, Univé (Netherlands)
- Diego Pasini, Head of Organisation & AI Program Leader, Unipol (Italy)
- Justin Pursaga, Vice-President, Data & Analytics & Cam Muckosky, Vice-President, Technology Strategy, Architecture & Governance, Wawanesa (Canada)
