Video presentation
ICMIF AI Summit 2026
Unipol presents a structured approach to scaling AI across a large insurance group, with a strong focus on prioritisation, value creation and governance. The case study outlines how the organisation is identifying where AI can have the greatest impact while building the foundations for wider adoption.
Unipol embarked on a structured, enterprise-wide AI transformation programme, combining top-down prioritisation with bottom-up ideation. Starting with broad benchmarking, the insurer identified 98 use cases, of which a smaller set of “golden use cases” accounts for the majority of expected value.
The organisation uses a dual framework to assess use cases, balancing productivity gains (automation) with effectiveness improvements (enhanced decision-making and customer value). Key areas of impact include underwriting, claims, and conversational interfaces, which together represent around half of identified opportunities.
Unipol has progressed into a scale-up phase, building reusable AI “assets” (e.g. document parsing, summarisation, chatbot capabilities) that can be deployed horizontally across business lines or vertically within processes. More recently, the mutual is exploring agentic AI, adding orchestration layers that enable coordinated human–AI workflows across complex operations such as claims.
Speaker:
- Diego Pasini, Head of Organisation & AI Program Leader, Unipol (Italy)
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