Claims

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.

The difference between catching fraud before payment and spending weeks recovering funds typically comes down to whether data is handled in real time or in batches.

Fraud networks exploit multiple digital identities across accounts and websites, making digital entity resolution critical for preventing fraudulent payments.

“Those who seek to commit fraud are often skilled innovators – frequently one step ahead of those tasked with stopping them."