Five uses of AI in commercial underwriting
By Charles Dugas, Insurance AI Lead, Element AI — Underwriting is all about data. Since its inception, people in the insurance profession have been evaluating data on risk, value, and other factors in order to make their decisions. Today’s underwriters have more variables to contend with, more submissions, more competition, and more data of all kinds to deal with than ever before. That’s why more and more insurance firms are deploying AI in commercial underwriting. Machine learning (ML) and AI are incredibly well suited for helping to deal with the masses of data underwriters now face. These technologies are changing underwriters’ working lives for the better and delivering huge benefits to businesses and the insurance industry as a whole. In this article, we’ll explore five key ways you can implement AI and ML in the underwriting process and the results they can achieve. Without further ado, let’s get started. (1.) Processing underwriting submissions Although efforts have been made to streamline submission processing, many lines of business in the insurance industry still have to deal with large volumes of documents that need to be processed manually. Until now, that’s just been part of the job — and a time-consuming, laborious one. New...