Marc Jeffreys // December 16, 2025 
(Image credit: SwidaAlba/Pixabay.)
In recent years, the group health insurance space has witnessed the broad adoption of artificial intelligence tools. A recent NAIC survey of U.S. health insurers showed 84 percent use some form of AI. The shift is completely understandable: even with rising costs, unpredictable claim patterns and shifting risk profiles muddying the forecasting waters, those assessing and managing risk are charged with making faster, more accurate decisions with fragmented data. As the expectations grow taller, traditional methods often fall short.
In this climate, AI solutions can quickly analyze large datasets,