Group protection providers administer millions of employees and members, generating vast volumes of unique operational data through quotations, underwriting decisions, enrolments, benefit changes, claims and member interactions. Together, this information represents a distinctive proprietary data asset for each insurer. AI tools offer the opportunity to use this unique information to streamline administration, speed up claims handling, improve risk assessments and deliver more targeted member engagement.
However, as AI tools become widely available across the market, insurers will face growing pressure to demonstrate the value they can derive from the technology. To meet these demands and enjoy the competitive advantages that AI can deliver, providers must ensure their data foundations are strong.
Without rich, complete and well-organised member-level data, AI will struggle to deliver reliable insights or meaningful improvements to group protection operations. This is a particular challenge for insurers using legacy, policy-based systems, which may not track individual members' cover, circumstances and experience over time.
Moreover, high-quality data will be essential to ensuring that AI supports the well-balanced decision-making and careful risk management on which insurers’ reputations are built.
Providers must therefore prioritise how they collect, consolidate and use member information to translate AI capabilities into better underwriting decisions, improved claims insight, faster product innovation and more responsive products and services.
With access to AI tools now widespread, competitive advantage will increasingly depend not on the technology itself, but on how effectively insurers apply it to their own data, expertise and processes. Modern administration platforms can help insurers unlock the value of this proprietary data, while ensuring data quality, governance and protection remain central in a highly regulated environment.
Tim Stoves, who recently joined Lumera as Group Protection Lead, commented: “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.”
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