Nov 24, 2025

Advanced Analytics and AI: game changers in risk protection

Advanced analytics and artificial intelligence enable a more granular and dynamic understanding of the real risks faced by individuals and organizations.

As societies face increasingly complex and interconnected risks, the insurance industry is under pressure to rethink how it assesses, communicates, and delivers protection. Advanced Analytics and Artificial Intelligence (AI) are transforming this landscape, enabling insurers to move beyond traditional models and gain a deeper, data-driven understanding of real exposure. By harnessing these technologies, insurers can quantify protection gaps with greater accuracy, target underserved segments, and personalize coverage at scale, turning a systemic challenge into a strategic growth opportunity.

More than tools for process optimization, advanced analytics and artificial intelligence enable a more granular and dynamic understanding of the real risks faced by individuals and organizations. By turning fragmented data into actionable insights, insurers can measure, target, and close the protection gap more effectively.

Quantifying the Gap with Precision

The first step involves accurately measuring the gap by cross-referencing external data sources, such as property valuations, public records, or market data, with the capital currently insured.

For example, in property insurance, estimating the real value of assets and comparing it with policy coverage reveals areas of underinsurance. Similar approaches can be applied to pensions (vs. required retirement income) and health insurance (vs. expected medical expenses).

Identifying Target Segments

Advanced segmentation techniques can pinpoint which underinsured segments are most likely to adjust their coverage, based on factors such as:

Risk profile
Financial capacity
Interaction history
Life events (e.g., buying a home, having children)

This level of segmentation allows insurers to focus their efforts on the most receptive segments, optimizing marketing and operational resources.

Personalizing Coverage at Scale

Finally, prescriptive analytics can recommend the best coverage solutions for each customer, tailoring products to their unique realities, risk profiles, and preferences. This capacity to personalize at scale is key to increasing policy uptake and amplifying the impact of awareness and conversion campaigns.

The integration of advanced analytics and AI across the entire insurance value chain (from gap measurement to product recommendation) offers the industry a unique strategic opportunity. By embracing these technologies, insurers can reinforce their role as key agents of protection for families, businesses, and communities, while unlocking new pathways for sustainable sector growth.

Insights