CAT Claims Gone Wrong & How the Industry Can Do Better

When a disaster strikes, policyholders count on their insurers to make them whole again. Sometimes, their insurers fall short. In most cases, insurers want to do the right thing, but their teams and processes are overwhelmed by the massive surge in claims. When claims professionals are overworked or spread thin, mistakes happen, and claims fall through the cracks.

Amrish Singh

Additional Insights on Process Improvement Articles

They Said Independent Agencies Were Dead. They Were Wrong. Now AI Changes the Math

Independent agencies have survived every major industry disruption by adapting, and AI may represent their biggest opportunity yet. This article explains how automating routine servicing work can increase revenue per employee, expand EBITDA and create significant enterprise value without adding headcount. For agency owners, AI isn't just another technology investment. It's a new operating model for profitable growth.

CAT Season ISN’T The Reason to Buy Voice AI

While AI can absolutely help carriers manage surge volumes during catastrophe (CAT) events, I believe that's the weakest reason to invest. The real value comes from improving the everyday insurance operation: answering calls 24/7, accelerating FNOL, helping policyholders when they need it most, and giving employees more time to focus on complex claims. When insurers build AI for the routine interactions that happen every day of the year, they generate measurable ROI long before the next storm arrives while creating the scalable foundation needed to perform when catastrophe strikes.

The Real AI Challenge Isn’t Innovation; It’s Responsibility

AI adoption is accelerating despite growing concerns about bias, privacy, security and accountability. Efforts to slow AI development have largely failed, shifting the conversation toward responsible AI. While definitions vary, most frameworks share a common goal: ensuring AI systems are fair, transparent, secure and subject to human oversight.