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Welcome to AI Insurer Brief Issue!
Hey - it’s Fabio here,
Back in London after the World Cup in Mexico, and straight into a new client engagement on AI underwriting, so excited for this one!
And the timing could not be better.
AI in underwriting may still sound cutting-edge, but it is quickly becoming the norm.
In fact, four in ten insurers are now using AI in underwriting, according to Sollers Consulting. And the workforce signal matters too: IT roles requiring underwriting expertise doubled in 2025.
But adoption is arriving with harder controls.
Sarah Breeden at the Bank of England is already talking about agentic AI potentially require regulatory reform. CFC has moved AI from ambiguity into explicit wording across seven products. In Claims, Corgi Claims is using AI at intake to score severity, flag coverage issues.
The operator question is getting sharper: where does AI support the decision, where does it shape the decision, and what evidence proves better outcomes?
Here’s what stood out this week — in under 4 minutes 👇
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⏩ INSURANCE AI SIGNALS
BANK OF ENGLAND WARNS ON AGENTIC AI
What changed: Bank of England Deputy Governor Sarah Breeden warned that agentic AI may require regulatory reform, including stronger recovery tools and possible “kill switches” for autonomous financial systems. Why it matters:: Insurance execs should read this as a regulatory direction of travel. Human oversight alone may not be accepted as sufficient when autonomous systems can act across payments, trading, claims, or critical operations. (Reuters)
CFC MAKES AI COVER EXPLICIT ACROSS 7 PRODUCTS
What changed: CFC updated seven policy areas with explicit AI-related coverage language, including Tech E&O, professional liability, eHealth, IP, management liability, media, and cyber proactive response., liability and accumulation. Why it matters: AI ambiguity is moving to explicit wording. For brokers and CUOs, the play is clarity at placement and fewer surprises at claim time. (Insurance Journal)
FOUR IN TEN INSURERS NOW USE AI IN UNDERWRITING
What changed: Sollers Consulting reported that four in ten insurers are now using AI in underwriting. The research identified 126 active AI use cases in insurance, with 13 directly tied to underwriting. It also noted that IT roles requiring underwriting expertise doubled in 2025. Why it matters: The operating model question is now sharper: what decisions can AI support, what must remain human-led, and what evidence proves the model is improving loss ratio rather than just productivity?(Read more here).
LEXISNEXIS TARGETS UK MOTOR CLAIMS DATA GAPS
What changes: LexisNexis Risk Solutions launched connected motor claims intelligence capabilities for the UK market, delivered through a single API. The product covers FNOL through settlement and targets incomplete data, misrouted claims, gaps in fraud detection, and manual validation.Why it matters: Claims AI will only be as strong as the data layer underneath it. The less glamorous work is the most important: reducing fragmentation before adjusters, fraud teams, and claims handlers make decisions. (Fintech Global)
Enjoying today's issue?
🌱 STARTUPS REWIRING INSURANCE
San Francisco-based Corgi Insurance launched Corgi Claims, an AI-native third-party administrator. The platform uses AI to review every claim at intake, score severity, flag coverage issues, surface missing documents, and route work to a network of more than 5,000 licensed adjusters.
Taktile now sits alongside Pace and Poetic as one of four well-capitalized AI claims/underwriting platforms to disclose funding this June alone — a sign the category is consolidating fast, not still forming. (Fortune)
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