A recent roundtable hosted by Insurtech Insights, in collaboration with Amplifi and Stibo Systems, brought together senior insurance leaders to explore how stronger data foundations are accelerating the journey toward AI-powered decision-making.
Held under Chatham House rules, the session provided a collaborative environment for industry experts to exchange perspectives on how insurers can evolve from data complexity to actionable intelligence. While specific comments remain confidential, several clear themes emerged around the growing alignment between data strategy and business outcomes.
From the outset, participants emphasised the importance of unifying data models and architectures. With increasing momentum behind AI adoption, insurers are prioritising structured, reliable data environments that enable scalable and responsible innovation. This shift is helping organisations move from fragmented data landscapes toward more cohesive, insight-driven operations.
A key takeaway from the discussion was the transition from traditional data strategies to “information strategies” — ensuring that the right data reaches the right systems, teams, and AI applications at the right time. This approach supports the creation of “decision-ready” data, empowering faster, more consistent, and higher-quality outcomes across underwriting, claims, and customer engagement.
Industry leaders highlighted several proven approaches supporting this transformation. Master Data Management (MDM) continues to play a central role in creating a unified and trusted data foundation, while modernising legacy systems is enabling more agile, customer-centric operating models. In parallel, the adoption of ecosystem-driven business models is fostering stronger collaboration across functions, partners, and platforms, enhancing the overall value chain.
Encouragingly, participants noted that the industry-wide focus on AI has elevated data to a strategic priority, accelerating investment and innovation in foundational capabilities. As a result, insurers are increasingly equipped to harness AI more effectively, improving both operational efficiency and decision quality.
The conversation also reflected strong momentum in AI adoption across the insurance value chain. From underwriting to customer service, organisations are actively exploring and scaling AI use cases, supported by a growing understanding of best practices and implementation pathways.
Leaders agreed that continued progress in data foundations will further enhance AI performance, reduce operational complexity, and unlock new opportunities for growth and innovation. With sustained focus and collaboration across the industry, insurers are well positioned to translate data into meaningful, real-time decision power.
Overall, the session reinforced a positive outlook: the combination of robust data strategies and advancing AI capabilities is set to play a defining role in shaping the future competitiveness and success of the insurance sector.
