For Weav.ai, the objective is actually twofold – to improve both speed and accuracy. And that first opportunity comes even before an underwriter has even begun assessing risk – in commercial insurance, there is still a lot of time spent collecting, validating and cleaning submitted data. According to the opinion, carriers often face “huge upfront overhead” to ensure information is complete and accurate. This process typically involves repeated exchanges between brokers, agents, and underwriting teams, while many insurers continue to outsource parts of this work to third-party providers.
From Submission to Decision: Inside AI-Powered Underwriting & more related News Here
