“We've also moved up the rollout to the rest of North America, U.K. and EMEA commercial lines by 6 months.”

In context

“our private and not-for-profit business today, we're processing 100% of the applicable submissions using underwriting by AIG Assist, which has increased our submit-to-buying ratio. This quarter, we deployed underwriting by AIG Assist in our Lexington middle market property and casualty business. In the E&S market and for Lexington, in particular, speed drives growth. As I outlined earlier and in prior calls, the middle market submission counts are growing dramatically. We have nearly 200,000 submissions year-to-date. We simply cannot get to all the submission activity, and this is a problem that's not going to be solved by simply adding underwriters. We are accelerating the rollout of underwriting by AIG Assist and we'll deploy across the rest of our Lexington business by the end of 2025. We've also moved up the rollout to the rest of North America, U.K. and EMEA commercial lines by 6 months. As a reminder, we've also been piloting claims by AIG Assist since last quarter, and we're seeing terrific results. We're reducing the time it's taking our claims teams to receive first notice of loss reports and to issue coverage letters. One of the main challenges in implementing GenAI solutions is the time and effort needed to build an accurate source of data from a heterogeneous population of documents. To make it easier, we developed a patent-pending approach called [ Auto Extract ]. Auto Extract is a capability that uses large language models to pull specific structured information from unstructured text such as documents in multiple formats, websites and conversations. It works by developing a content-specific large language model that generates prompts containing instructions on w”