AI Agents Begin Automating Insurance Underwriting & Claims

The global AI in insurance market is projected to grow from $26.3 billion in 2026 to $114.52 billion by 2031, a compound annual growth rate of 34.20%. This growth is driven by insurers investing in cloud-native platforms to support real-time pricing and instant claims decisions. North America currently holds the largest market share, with 43.95% of the revenue in 2025. Modern Life, based in New York, has raised a total of $35 million, with its latest Series A funding round of $20 million led by Thrive Capital. The company's AI-powered platform is designed for financial advisors, consolidating quoting, underwriting, and case management into a single dashboard. This can reduce the average six-month policy cycle for permanent life insurance to just minutes. Hong Kong-based CoverGo has raised a total of $15 million in funding over two rounds, with its Series A in May 2022 bringing in $15 million. The company has launched three initial AI agents focused on Intelligent Document Processing, Customer Support, and Quotation generation. These tools are already in use by major insurers and brokers to automate data extraction from unstructured documents and streamline customer queries. For engineers looking to build similar AI applications, several frameworks are available. LangChain is a popular open-source Python framework for developing applications powered by large language models (LLMs). Other production-ready frameworks for building reliable multi-agent systems include LangGraph, Autogen, CrewAI, and LlamaIndex. These tools provide the necessary orchestration, tool access control, and state handling for enterprise-level projects. The New York AI scene features a number of innovative founders. Laura Kornhauser, CEO and co-founder of Stratyfy, is helping banks and insurers make better risk-based decisions and identify bias in their systems. Vikram Oberoi, founder of Citymeetings.nyc, created an AI platform that makes New York City Council meetings searchable and more accessible. Julie Samuels, at Tech:NYC, is a key advocate for the city's tech sector and is involved with the Empire AI consortium to establish New York as a leader in responsible AI. Vertical SaaS companies are increasingly integrating AI to disrupt specific industries. In construction, Procore uses AI to scan project documents and flag inconsistencies. In property management, Rentvine utilizes generative AI to create marketing headlines and property descriptions. This trend of "Vertical AI" is expected to create businesses that can generate billions in revenue with very small teams by automating complex workflows. For consumer-facing apps, user acquisition in 2026 is heavily focused on paid strategies to reach audiences that are difficult to find organically. AI is a key driver, enabling sophisticated audience segmentation and hyper-personalized ad content. Successful strategies often involve a mix of social media advertising on platforms like TikTok and Instagram, influencer marketing, and in-app advertising. The primary goal is to acquire users where the cost of acquisition is lower than their lifetime value.