AI & Machine Learning

Data fragmentation prevents most insurers from turning AI strategy into operational reality despite industry-wide ambition.

The gap between $20 ChatGPT and six-figure AI vendors lies in integration, repeatability and operational complexity personal tools can't address.

"We made a deliberate decision to treat employee confidence as the primary KPI of our AI transformation."

Insurers are achieving 30% efficiency gains as AI shifts actuarial work from production tasks to interpretation and governance.

Fragmented producer data threatens to collapse AI ambitions unless the insurance industry addresses foundational infrastructure issues now.

AI enables overwhelmed workers' comp brokers to shift from transactional quoting to strategic risk advisory relationships that employers increasingly demand.

Self-insured employers can now prevent wasteful healthcare spending before payment using AI rather than recovering overpayments after the fact.

While claims technology has improved for decades, too little has been done to leverage it. It's time to move beyond document storage and into effective decision-making.