AIGAmerican International Group, Inc.

“As part of a closed evaluation, Anthropic hired a professional claims adjuster to review 100 claims, ranked each as fraudulent or legitimate, and document the reasoning. Claude was then used to assess the same 100 claims. Claude's determination aligned with the adjusters 88% of the time, a very strong baseline for an out-of-the-box model with no claim-specific tuning.”

“In Lexington middle market property, which is an area we have targeted for growth, AIG Assist has helped deliver a 30% improvement on quoting more submissions, reduced time to quote for the underwriters by 55% and increased binding of submissions by approximately 40%.”

“we're creating a multi-agentic solution with a strong orchestration layer that coordinates specialized and trained AI agents to seamlessly supplement our underwriters' analysis and should further augment our underwriters' ability to assess risks and rate and provide coverage with real-time alignment. In this phase, we expect each AI agent to be purpose-built for a specific underwriting function. For example, one agent may handle submission ingestion and data extraction, another may perform risk evaluation against our underwriting guidelines and another could benchmark pricing against our portfolio targets, all with a collaboration agent to synthesize input from other agent large language models.”

“the latest version of Claude can elevate the performance of an entire claims team, surfacing patterns across submissions that are easy to miss when reviewing files one at a time, making our most experienced adjusters even more effective. Large language models can now hold a full file of claims information in context, every endorsement, every loss run, every guideline and reason across it with an audit trail. Examples of what Claude routinely flags include time line inconsistencies, geolocation mismatches, linguistic fingerprints, prior claim patterns, document tampering signals and coverage gaps.”

“This quarter, in close partnership with Palantir and Anthropic, we've begun the next phase of agentic AI at AIG that builds on early successes of AIG Assist. Using Palantir's Foundry platform, we expanded our ontology, a digital map of our business that included our underwriting processes, workflows and data relationships. This ontology, coupled with orchestration, will enable us to deploy multiple AI agent teams to integrate with our core systems, which will improve decision-making and reduce costs over time.”

“In 2025, we launched Underwriting by AIG Assist to help our underwriters review our submissions with more and higher-quality information in a fraction of the time. After a successful launch, we began to deploy AIG Assist across 8 lines of business. We're very encouraged by the impact on underwriting metrics and improved data quality.”

“when we worked with Palantir on the ontology, we were able to get a look at the portfolio within a week about every upcoming month as to what the submission activity is going to be and what we like for pricing and what we thought we needed to restructure.”

“To illustrate the magnitude of recent advancements in AI, when we began our work with Claude 2.0, AI agents could operate autonomously for less than an hour. Today, they can run autonomously for as long as 30 hours.”

“I absolutely think in a 5-year period that the global capabilities in terms of the AI orchestration across an organization, just not in underwriting but across from front to back office will be profound. And I don't -- look, we're a large company, so I'm going to be biased, but I think you need to have size, scale and ability to beta test and try to work through this in order to get the most out of it.”

“Our approach to using AI has been focused on 3 important components. First, you have to have an understanding of the technology and capabilities of large language models. Second, you have to have pattern recognition in order to know how to apply AI to your business. And third, you have to have a culture and a track record of execution in order to effectively deploy AI within an organization.”

“Now with advancements in reasoning models, AI agents can review, challenge and eventually recommend underwriting observations so that our underwriters can make more informed decisions and provide more robust insights to supplement their experience and underwriting judgment. We're advancing our business model and AI implementation programs to leverage this potential.”

“What we're starting to work through now is more enterprise and how you actually can take the orchestration of agents. And we've moved more from Gen AI to agentic and now, we are going to look at how do you use autonomous with a lot of guardrails and supervision to work through reengineering our workflow.”

“After years of extensive work exploring how to embed AI into our underwriting workflow, we outlined our blueprint at our Investor Day in 2025. That work reinforced our conviction that AI has the potential to materially improve performance and drive better solutions for our clients and for AIG.”

“how we're thinking about it at AIG is more capabilities, more insight, more benefit for brokers and clients, create our own bandwidth for investment by reengineering process and having the ability in certain markets to be able to grow exponentially when there's opportunities.”

“I think as we start to get AI more embedded into Lexington, it's not because we see massive growth opportunities because the market is there. We see opportunities because we're not able to service the incredible submission flow, which has still been very strong.”

“as we look at the way in which data is being ingested through the mechanisms of a variety of large language models, I think we will be able to augment information that we get in submissions to be able to make better underwriting decisions.”

“These agents will communicate and handoff work to each other to augment our underwriters just like a well-functioning underwriting team, but operating at machine speed and with inherent consistency.”

“we're a lot longer into that to understanding the portfolio through our underwriters, through our actuaries, through our partnership with Palantir and the way we did that.”

“we are beta testing the use of multi-agentic solution to enhance our team's productivity, efficiency and learning and development.”

“we are implementing a leading AI strategy designed to rapidly evolve alongside other advances in technology to deliver growth, data insights and quality decision-making. We expect our strategy to enable our businesses to be more effective over time.”

“I think as we get into like '27, '28, not to punt to the poor, Eric, but like I think you'll start to get a lot more clarity in terms of what the expense components are of how we deploy it and what the benefits are on the revenue side.”

“as enterprise becomes a much bigger part of large insurance companies and large insurance brokers, the ability to collaborate will get even stronger.”

“We've been deliberate in our growth and believe our AI implementation, which I will discuss later in more detail, will further enable this.”

“Gen AI capabilities and our spirit of innovation.”