Data Analytics

Businesses face coverage gaps not because they're uninsurable but because traditional underwriting relies on outdated geographic assumptions.

Insurers outsource processes to third-party vendors, but when data fails or breaches occur, customers still hold the carrier accountable.

When a steel column buckled in a Manhattan tower conversion, it exposed a deeper problem: Buildings lack persistent identity across their lifecycle.

Life insurers carry decades-long risk locked in contracts they can't revise, yet lack systems to continuously test the assumptions beneath them.

Many insurers mistake their system of record for a true policy administration platform, a confusion that now costs them speed, distribution reach, and competitive ground.

As technology becomes commoditized across insurance, trust and human capabilities may emerge as the industry's next competitive differentiators.

AI won't replace SaaS platforms, but vendors must prove their value by delivering measurable business outcomes for insurers.

Insurers can safely cut development costs by 75% if they treat AI-generated code like a junior engineer's work.