Last year’s claims are an important part of the renewal picture, but they cannot tell underwriters everything about a group’s future risk. Emerging high cost claims and changes in retention may affect the next 12 months, even when those trends are not yet clear in historical results.
Gradient AI’s Renewal Analytics helps group health insurers look ahead. It uses predictive risk scoring to project future claims and termination trends, giving underwriting teams more information to consider as they set renewal rates.
Watch the video to see how Renewal Analytics connects future risk insights with renewal pricing.
Move Beyond Historical Claims Data
Renewal decisions often rely on claims from the previous year to price coverage for the year ahead. That creates a gap: the data describes what happened, while the rate needs to account for what may happen next.
Renewal Analytics helps underwriters assess a group’s projected risk and retention alongside its historical performance. This forward-looking view can help teams identify changes that deserve a closer look before they finalize a renewal.
Turn Risk Insights Into a Renewal Price
Predictive scores are most useful when underwriters can apply them to the decision at hand. Gradient AI’s built-in Rate Calculator brings those insights into the renewal pricing process, helping teams move from risk assessment to a rate they can explain and support.
With 12-month risk visibility, projected retention insights, and a built-in Rate Calculator, underwriting teams can approach renewals with greater clarity and confidence.
See What’s Next for Your Renewals
Want to see how Renewal Analytics could fit into your underwriting process? Schedule a demo to explore how Gradient AI helps insurers evaluate future risk and price group health renewals.
