2026-09-07 · Source: Insurance Journal
Summary in 3 Points • 60% of insurers are still in the exploration stage of AI adoption • Successful AI deployment relies on clear objectives, data quality, and operational trust • Leading insurers integrate AI into core workflows for enhanced customer service and claims processing --- The insurance industry has been exploring AI through pilots and experimentation, but many insurers have yet to achieve meaningful financial impact or operational change. According to Capgemini's report, 60% of insurers are still in the exploration or proof-of-concept stage of AI adoption. Successful AI implementation requires clear problem definitions, strong data foundations, system connectivity, and operational trust. Organizations that have moved beyond pilots have embedded AI into underwriting, claims, and customer service workflows, leading to improved customer experiences and risk decisioning. Hippo, for example, has integrated AI into its claims and customer service processes, expecting significant increases in digital claims filing and operational capacity.
For the London insurance market, the slow adoption of AI presents both challenges and opportunities. Underwriters and brokers may need to reassess their strategies to incorporate AI more effectively into their operations. As AI becomes more integrated into workflows, there could be implications for policy wording, pricing, and risk assessment. The market may also see changes in claims processing efficiency and customer service expectations, potentially influencing competitive dynamics and client relationships.