Global reinsurance provider: Designing a global AI strategy and roadmap

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Our client, a global reinsurance provider, sought clarity on the rapidly evolving generative AI landscape within their industry. Fragmented internal alignment and disconnected initiatives were slowing progress in this area, making it challenging to act quickly and seize practical opportunities to unlock value.

Outcome 1: Developed 167 tailored AI use cases and a unified global AI mandate that generated excitement and alignment within the organization
Outcome 2: Accelerated enterprise AI strategy by leveraging market insights to drive urgency and modernization
Outcome 3: Delivered a structured AI roadmap, defining five transformative areas to guide execution and maximize long-term impact

The challenge

This global reinsurance provider sought to understand how generative AI can create value within the insurance sector; both today and in the future. Their goal was to identify industry innovations and emerging developments and, by leveraging stakeholder insights, build a prioritized list of AI use cases supported by a structured roadmap for enterprise-wide implementation and mobilization. Internal fragmentation meant that this would be a significant undertaking, both in identification of use cases and implementation and mobilization.

The approach

We conducted extensive market research to identify the latest developments in generative AI and assess industry-specific applications, culminating in a comprehensive Market Trend Report. This foundation provided a clear view of the evolving AI landscape within reinsurance.

Our approach incorporated direct input from over 45 stakeholders, capturing perspectives on current initiatives, strategic goals and areas of potential impact. We supplemented these insights with two executive workshops, designed to align leadership on AI priorities and define the most relevant use cases for the organization.

From this work, we established ten generative AI objectives explicitly tied to the client’s corporate and data strategies, creating a structured framework for integration. The resulting prioritized strategy and roadmap enabled immediate productivity gains while establishing the foundation for long-term AI transformation.

The Impact

Stakeholder engagement and the integration of market insights sparked organization-wide alignment, resulting in 167 tailored AI use cases and a unified global AI mandate. By prioritizing and phasing these initiatives into a structured roadmap with five transformative areas, the organization gained a clear, actionable plan to implement generative AI and realize tangible business value.