Underwriting

Insurance is scaling into cyber, climate and AI risks faster than the first principles of insurability can adapt.

Despite technology advances, many insurers still price risk with spreadsheets while fast, agile competitors deploy sophisticated pricing engines.

With secondary perils accounting for 92% of losses, traditional catastrophe reinsurance architecture is fundamentally misaligned with modern risk.

Despite advances in AI and automation, commercial insurance still rebuilds the same risk information from scratch every renewal cycle.

MGAs must solve how to scale specialized expertise as the workforces age and competition for talent intensifies.

Insurance AI scales when it defers to human expertise and flags uncertainty, not when it claims to automate everything.

Insurers rushing to adopt AI risk missing a crucial step: building the underwriting fundamentals that make technology effective.

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.