Specialty wholesaler Flow Specialty said its artificial intelligence model has passed the Registered Professional Liability Underwriter (RPLU) exams for cyber, errors & omissions, and executive liability modules.
“For far too long, the middle market segment of specialty business has been underserved for retail brokers. I have been in this industry for more than two decades and have observed an underperformance around the quality of service, attention to details, and ability to serve the client in a manner they deserve,” said David Derigiotis, president of brokerage and head of insurance. “The stumbling blocks for wholesalers have been thin margins, bandwidth issues, and inconsistency of expertise across teams. We have solved these problems by using AI to dramatically scale our human brokers abilities far beyond what has been previously possible.”
Flow said putting together commercial insurance solutions for middle-market consumers takes the expertise of brokers to tailor coverage based on need. However, brokers are only compensated for quotes that bind. This structure typically means brokers focus on serving larger enterprises for a potential bigger commission.
Flow said the “ecosystem of AI agents” it is building will “operate like the world’s best assistants.”
AI agents are “trained on a library of insurance materials—specimens, quotes, and carrier risk appetites—and the ongoing transaction of endless communication materials and critical decision points,” Flow said.
“By digitizing knowledge, Flow’s internal workflow engine enables AI models to cross-reference materials, learn from broker interactions, and evolve continuously, ” Flow said. “These AI agents are integral team members, handling labor-intensive tasks such as risk appetite matching, generating quote comparisons, and constructing review materials. Flow brokers are always in the loop, revising and overseeing the output of this workflow engine.”
Topics
Agencies
InsurTech
Data Driven
Artificial Intelligence
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