Claims

Understaffing claims departments doesn't save money—it delays exponentially higher costs through reserve instability, litigation, and adverse development.

Instead of mass layoffs, companies must contemplate what to do with AI's new capacity by redirecting employees to focus on more meaningful tasks.

First Notice of Loss has evolved into insurance's most fraught moment for fraud, yet carriers treat it merely as administrative intake.

Insurers are deploying AI to combat increasingly sophisticated fraud schemes, but detection still hinges on fundamental prevention and deterrence strategies.

In claims, AI explainability has evolved from a technical concern to a business imperative for governance, compliance, and trust.

The most dangerous AI failures occur when institutions trust systems completely while they quietly produce wrong outcomes.

Rising operational costs are driving insurers to deploy AI agents that automate claims, accelerate settlements, and reduce fraud losses.

Insurance carriers and the plaintiff bar are waging an AI arms race reshaping litigation economics.