The 360IS Blog: AI, Insurance, and Innovation

In today’s competitive insurance landscape, underwriters are under pressure to deliver faster, more accurate decisions—without compromising quality or compliance. Yet many carriers still rely on manual data extraction  from submissions, applications, and supporting documents. This outdated approach bottlenecks the underwriting process, increases operational costs, and contributes to rising loss ratios. The good news: intelligent automation has matured to the point where carri

In today’s competitive insurance landscape, underwriting profitability hinges on two things: speed  and accuracy . Insurers are under constant pressure to make faster decisions, improve risk selection, and reduce operational costs—without compromising quality. Yet the traditional underwriting process remains stubbornly manual, tedious, and error-prone, especially when large volumes of documents must be reviewed. AI-powered document processing is changing that. By automating t

The insurance industry is at a turning point. After years of pilots, proofs of concept, and exploratory AI initiatives, 2026 is the year insurers finally shift from experimenting  to executing . The core question is no longer “Should we use AI?” —it’s “How fast can we scale it to transform underwriting and automate insurance claims?”   Below are the biggest trends shaping the industry and what they mean for insurers who want to stay competitive. AI Moves From Innovation to Im