2026-09-17 · Source: Risk & Insurance Magazine
Summary in 3 Points • 83% of insurance leaders support AI for operational tasks, while 86% insist on human oversight for key decisions • Only 13% of insurers have advanced AI operating models, despite 96% planning AI-led redesigns • 86% of BPO users would renegotiate contracts, with 81% facing board scrutiny over AI-driven alternatives --- Insurance leaders are grappling with the balance between artificial intelligence execution and human judgment, as revealed by a research report from **mea Platform**. The study, conducted by **Information Services Group**, surveyed 150 decision-makers and found that while 83% support AI for repeatable tasks, 86% believe human oversight is essential for consequential decisions. The report advocates a four-owner operating model, where AI handles routine work, humans retain judgment, global centres build capabilities, and partners deliver services. Trust in AI is conditional, with 75% favouring insurance-specific models, and only 6% trusting general-purpose AI. The research also highlights a gap between AI ambitions and execution, with only 13% of insurers operating at an advanced AI posture. For the **London Insurance Market**, the findings underscore the critical role of human oversight in **underwriting** and **claims** processes, where AI's potential is tempered by the need for governance. The report's emphasis on integrating AI with controlled policy wording and underwriting appetite is particularly relevant for **Lloyd's syndicates**, which are known for their complex risk assessments. The gap between AI ambition and execution could impact the market's ability to harness AI for efficiency gains, as only a small percentage of insurers have fully embraced AI-led models. This highlights the importance of aligning AI strategies with existing **regulatory** frameworks and market practices. **Underwriters** and **brokers** in the London Market should consider the implications of AI-driven operational changes on their workflows. With 86% of BPO users considering contract renegotiations, professionals must evaluate the strategic value of AI partnerships and the integration of AI across multiple functions. The report's findings suggest that AI can drive productivity gains and cost reductions, but only if insurers can effectively manage the transition to AI-led models. As board-level scrutiny increases, risk managers should ensure that AI deployments align with strategic goals and regulatory requirements, while maintaining the necessary human oversight for critical decisions.