AI edge in group protection hinges on data quality

Lumera says data quality will determine which group protection providers gain an edge from artificial intelligence, as AI becomes more widely used across insurers' operations.

Many providers have invested in AI tools to improve administration and service, but lack the member-level data needed to generate consistent value, it argued. That gap could limit efforts to improve claims handling, underwriting and customer engagement.

Group protection providers manage millions of employees and members through workplace insurance arrangements. In doing so, they collect information from quotations, underwriting decisions, enrolments, benefit changes, claims and member interactions, creating large stores of operational data.

Lumera argued this gives each insurer a proprietary data asset. But as access to AI tools becomes more widespread, providers may find it harder to differentiate through the technology alone.

Data challenge

A key issue is that many older administration systems operate at policy level rather than member level. As a result, they may not track an individual member's cover, circumstances and experience over time, leaving insurers with incomplete or fragmented records.

That matters because AI systems depend on structured, reliable and sufficiently detailed information to produce useful outputs. Where records are poor, inconsistent or thin, the technology may struggle to support sound decisions or deliver measurable operational improvements.

The issue is particularly important in group protection, where insurers need to balance automation with careful risk management and judgement. Strong data governance and protection also remain central in a regulated market.

These comments reflect a broader shift in financial services, where firms are under pressure to show practical returns from AI spending. In insurance, that is likely to focus attention on whether providers can connect internal data sources in ways that improve day-to-day decisions, rather than simply introducing new tools.

Member records

Lumera said providers should focus on how they collect, consolidate and use member information if they want AI to support better underwriting decisions, sharper claims insight and more responsive products and services. It also pointed to the role of modern administration platforms in helping insurers organise and use their data more effectively.

Tim Stoves, group protection lead at Lumera, said: "AI is understandably attracting significant attention across the group protection market, but the industry needs to recognise that the technology itself is only part of the equation. Without the right data foundations, even the most sophisticated AI capabilities will be limited in what they can deliver.

"Over time, AI is likely to become increasingly available across the market and is unlikely to remain a core source of competitive advantage in its own right. The real differentiator will be the quality and completeness of providers' proprietary member-level data, and how effectively they use it to create value, deliver better outcomes for customers and reinforce trust. By connecting information on members' cover, claims and interactions over time, insurers can build a richer picture of their customers and unlock greater value from AI."

His remarks highlight a growing debate in insurance over whether the next stage of AI adoption will be defined less by access to software and more by the quality of the information firms hold about customers, risks and claims.

For group protection providers, that means competition may centre on the ability to build complete records at individual member level and use them consistently across underwriting, administration and claims.