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Summary
As Gen AI moves from use cases to industry-wide deployment, insurance leaders face the challenge of scaling beyond isolated pilots to enterprise-grade capabilities that deliver measurable ROI. Success now hinges not just on deploying new tools, but on building the foundations to scale them across the business.
Evident’s inaugural Insurance Index roundtable brought together Jodie Wallis (Global Chief AI Officer at Manulife) and Dr. Andreas Schertzinger (Group Chief Data, AI & Innovation Officer at AXA) to explore how two of the sector’s frontrunners are embedding GenAI into the core of their operations. Drawing on their experience, the discussion focused on the organisational enablers, ranging from talent strategy to governance models, as well as turning experiments into enterprise value.
Key Discussion Topics
- Embedding AI talent and literacy at scale: AXA has built a deep AI bench with over 2,000 specialists, which includes 900 data scientists and engineers, and now delivers company-wide training alongside executive bootcamps. Manulife complements its talent strategy with dedicated change squads and AI-specific roles, driving adoption of its in-house copilot (Chat MFC) which saw 75% engagement shortly after launch.
- From pilots to platforms: AXA’s federated structure, developed over a decade of layering tech, data, and operations, now supports ~400 active AI use cases. Meanwhile, Manulife’s structured approach (pilot → industrialise → scale GenAI reuse) is entering the “build once, deploy many” phase across more than a dozen markets.
- Sustained innovation through research and ventures: AXA fuels a powerful innovation edge via a €250mn research fund backing 700+ projects and 400+ partnerships with academic institutions. Manulife takes a targeted approach, leveraging early-stage ventures like the WEF Longevity Challenge to monitor disruptive trends.
- Governance that prioritises impact: Both firms take a disciplined portfolio approach. AXA evaluates each use case for P&L impact, balancing short-term wins (e.g. satellite-aided underwriting) with long-horizon life products. Manulife applies a 70/30 split between near-term value and long-term infrastructure or R&D, adjusting over time as GenAI capabilities mature.
Key Slides & Perspectives







