2026-09-17 · Source: Carrier Management
Summary in 3 Points • Automation-first AI systems can misinterpret policy documents despite identifying limits and exclusions • AI may overlook how endorsements alter coverage or how excess layers differ from underlying policies • Understanding coverage requires more than document reading; it involves interpreting the promise within --- Automation-first **AI** systems, while capable of identifying every limit, exclusion, and endorsement in a policy, can still misinterpret the overall coverage analysis. These systems might read every page of a policy but fail to understand how an endorsement changes the coverage grant or how an excess layer differs from the underlying coverage. The essence of coverage is a promise encapsulated in documents, and merely reading these documents is just the beginning of understanding the full scope of coverage. For the **London Insurance Market**, the limitations of automation-first **AI** in interpreting complex specialty lines policies are particularly relevant. Specialty lines, often underwritten through the **Lloyd's** subscription market, require nuanced understanding that goes beyond document analysis. The intricacies of endorsements and excess layers are critical in lines like **cyber insurance**, where London syndicates lead the global market. Misinterpretation by **AI** systems could lead to significant discrepancies in coverage, impacting both underwriting decisions and claims handling. **Underwriters** and **brokers** in the London market should be cautious about relying solely on automation-first **AI** for policy analysis. While **AI** can streamline some processes, human expertise remains essential to interpret the nuances of policy language and coverage promises. **Risk managers** should ensure that their teams are equipped to verify and interpret **AI** outputs, particularly in complex specialty lines, to avoid potential coverage gaps or misinterpretations that could lead to disputes or financial losses.