Nearmap’s AI-powered models approved in 27 markets
Insurers can leverage the predictive scores to help price risk.
There is a potted plant somewhere in your office, or maybe in the lobby of your building. It’s a healthy plant. Perhaps it’s one of those office fig trees. It looks healthy, but from a life-cycle perspective, it’s in trouble. The roots are cramming themselves in every nook and crevice of the pot because they can’t escape. At some point, it will suffer because it needs room to expand. It needs someone to get it out of the pot and into the ground.
This is where the existing new business and underwriting process is today within many insurance carriers. It’s keeping insurance companies in the pot. That’s why so many organizations are looking at their new business and underwriting process for improvements. With a redesigned underwriting process, your company can seek new markets, get business on the books faster and improve decision consistency that will ultimately save it millions of dollars with improved mortality.
But for all of its promise, new business and underwriting automation needs to be done properly to be effective in your operations and to your bottom line. Giving your roots room to grow requires a good look at your goals.
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Insurers can leverage the predictive scores to help price risk.
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