Underwriting teams track the average handling time for each task and the number of submissions they process each month, but very few MGAs track the
Underwriting teams track the average handling time for each task and the number of submissions they process each month, but very few MGAs track the
From the moment a new submission enters your system to the final bind, every step of the underwriting process counts. The truth is, most underwriting
Most automation stories in the MGA market start the same way: bold claims about hours saved, faster processing, and efficiency gains that sound almost automatic.
AI is becoming a standard part of underwriting. Pulling data from messy submissions, scoring risks, flagging inconsistencies, and helping teams move faster. But as AI
Insurance runs on data, but most teams store that data in different tools and systems that don’t integrate. These gaps create data silos, and those
Specialty lines are growing faster than almost any other part of the industry. E&S, cyber, marine, contractors, environmental, and professional liability are all expanding as