Claims

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.

Insurance performance hinges on data integrity at eligibility intake, not downstream claims processing or fraud detection.

Regulators aren't asking if your AI works—they're asking which named human was accountable when it didn't. If there isn't one, the person on the hook may be you.

Operational challenges often become rationalized clutter; reframing them through expertise rather than experience unlocks breakthrough solutions.

The most important question in claims AI is not whether a model performs well on average. It is what happens when it does not.

AI-enhanced fraud cases quadrupled in three years as fraudsters weaponize generative AI to overwhelm traditional carrier defenses.

Unlike traditional property claims, wildfire losses function as multi-year community rebuilding projects governed by regulatory complexity and shared constraints.