SCALING UNDERWRITING BY AIG ASSIST
During 2025, we scaled our first AI solution, Underwriting by AIG Assist, which is enabling our underwriters to review more submissions. At Investor Day, we set an ambition of reaching 500,000 submissions in our Lexington business by 2030. As of year-end 2025, we have already surpassed 370,000 submissions, a 26% increase year-over-year. Since we began the rollout to Lexington Middle Market Property, the submit-to-bind ratio improved 35%, reflecting notable productivity gains. This is just the beginning of our broader efforts to use AI to drive submission volume and unlock growth.
CLAIMS BY AIG ASSIST
We extended the core AI capabilities we built for Underwriting by AIG Assist to Claims, and where it has been deployed, we are seeing meaningful reduction in the first notice of loss process from days to hours, and enhancement to our coverage analysis. This technology is leading to improvements in our cycle time for coverage and endorsement reviews, in some cases from hours to minutes, helping us deliver on our promise to be there for our clients when they need us most.
PORTFOLIO OPTIMIZATION
We are leveraging our AI capabilities to accelerate portfolio underwriting and support recent strategic transactions. In connection with the Everest renewal rights transaction, we developed an Everest ontology – a digital twin of the Everest portfolio – allowing us to evaluate account limits, attachment points and pricing to deliver compelling solutions for our clients and broker partners. We are leveraging Underwriting by AIG Assist to ingest certain acquired policies and prioritize renewals, accelerating the conversion process.
We also deployed AI in connection with a special purpose vehicle transaction for the first time. We formed Syndicate 2479 in partnership with Amwins, a global distributor of specialty insurance products and wholesale broker, and Blackstone. As part of our process, we leveraged Palantir’s Foundry platform and multiple Large Language Models to evaluate defined risk characteristics and align the Amwins portfolio with the syndicate’s risk appetite, helping us optimize the construction of the portfolio.
ORCHESTRATION
Building on this foundation, we are developing an orchestration layer that can enable AI agents to operate alongside our teams to help us streamline repetitive processes and enhance decision-making at greater scale. This work will help define when AI agents are activated, what information they can access, how tasks are sequenced and where human oversight is required.
In 2026, our priorities include further scaling Underwriting by AIG Assist and Claims by AIG Assist, expanding our ontology, deploying orchestration capabilities and applying AI to further support portfolio analytics.