Insights
Insights for responsible work with information and AI in insurance
Practical thinking for insurance leaders and professionals exploring how to use AI while maintaining quality, oversight and trust.
5 min read
How do you evaluate an AI system's answer in insurance?
A practical checklist for judging whether an AI-generated answer about coverage, eligibility or a claim is good enough to act on.
5 min readWhat quality metrics should you define before a pilot?
Before you pilot AI on a real insurance process, agree on how you'll measure whether it's actually working.
4 min readHow do you maintain professional oversight in a digital process?
As more of the insurance workflow becomes digital and AI-assisted, oversight has to be designed in — not added afterward.
5 min readWhat should you ask an AI vendor before sharing insurance data with them?
Insurance data is sensitive and regulated. Here is what to ask before it leaves your organization.
4 min readHow do you choose a first process to evaluate AI on, in an insurance organization?
The right first AI pilot is usually not the most impressive one. It's the one you can actually measure.