Insurance and Reinsurance

Accelerated digital transformation and data/AI expectations

The shift toward digital-first operations, AI-driven underwriting and next-generation analytics is gathering speed. Carriers are investing in cloud platforms, data lakes, generative AI and embedded analytics. However, many face barriers from legacy systems, data fragmentation, talent shortages and governance gaps.

Margin pressure, competitive disruption and business model evolution

Enterprise insurers and reinsurers are under increasing pressure to preserve profitability in a competitive market with rate softening. Embedded insurance, insurtech partnerships and cloud-native business models are disrupting traditional distribution. Carriers must rethink their operating models, cost base and offerings to remain relevant and financially resilient.

Modelling escalating climate, catastrophe and litigation risks

Insurers are grappling with sharp rises in natural-catastrophe losses, litigation inflation and systemic exposures. Insured losses have exceeded $100 billion annually, forcing firms to revisit pricing and capital models. The combination of more frequent large-loss events and tougher claims outcomes demands stronger risk modelling and alternative transfer strategies.