Underwriting

Most professionals spend more time gathering data than making decisions, making pre-decision AI deployment the smarter strategic move.

Climate models weren't built to predict insurance losses, so underwriters are having to rethink risk management.

Insurers racing to deploy AI risk amplifying flawed data and inconsistent knowledge unless they first build trustworthy foundational systems.

AI-driven data center growth is creating complex insurance challenges that extend far beyond traditional property coverage.

Invisible infrastructure deficiencies and compliance risks are forcing appraisers to fundamentally rethink how they measure functional obsolescence.

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

AI speeds insurance workflows but can create undue confidence when incomplete risk data and weak processes remain unaddressed.

Traditional insurers must rebuild their operating foundations before new technology can let them match the agility of MGAs and insurtechs.