The 360IS Blog: AI, Insurance, and Innovation

Usage-based insurance (UBI) has rapidly moved from innovation to expectation in personal auto. Policyholders now assume their premiums will reflect how, when, and how safely they drive. For insurers, this shift unlocks more accurate risk modeling and competitive pricing. But behind the scenes, a less visible challenge is emerging—one that many carriers are underestimating: The data processing gap between telematics and claims. The Hidden Complexity of UBI Data UBI programs ge

The insurance industry is approaching a significant workforce challenge. Recent reports indicate the U.S. insurance sector could lose around 400,000 workers by 2026 , driven largely by retirements and ongoing workforce attrition. For an industry that relies heavily on experienced professionals to review claims, analyze documentation, and make complex decisions, that type of workforce reduction presents real operational risk. But the future of insurance isn’t about replacing p

Why Well-Designed Human-in-the-Loop Workflows Make Automated Insurance Claims Faster, Not Slower In conversations about automated insurance claims , a common concern still surfaces: “Won’t human review slow everything down?” At first glance, the concern seems logical. Automation promises speed, and humans are often perceived as the bottleneck. But in reality, the opposite is often true. Human-in-the-loop workflows fail when they’re poorly designed—not because humans are invol

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 This outdated approach bottlenecks the underwriting process, increases operational costs, and contributes to rising loss ratios.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

When it comes to managing insurance claims, medical reviews, or demand packages, the intake process often sets the tone for everything that follows. Yet, many organizations still rely on manual data entry, email attachments, and human triage to handle submissions—methods that are slow, error-prone, and expensive. In an era where speed and accuracy drive client satisfaction and profitability, manual submission intake isn’t just outdated—it’s costing your organization more than