Andy Yeoman: When AI Rewrites Risk Transfer | TRP #162

Andy Yeoman, co‑founder of Concierus, traces the company’s journey from a niche marine‑analytics startup to an AI‑centric insurtech platform. The first incarnation, launched under the Connected Cloud banner, introduced a new data‑driven decisioning category but faltered when pandemic‑driven spending dried up. Learning from that setback, Yeoman rebuilt the business as Concierus version 2, insisting every product feature be “compelling, not merely interesting.” This shift forced the team to focus on outcomes that insurers can’t ignore—speed, certainty, and profitability—rather than on flashy technology alone.

Yeoman argues that AI’s real value lies in collapsing underwriting cycles from hours to seconds, delivering both speed and certainty. Concierus demonstrated this by helping a U.S. carrier expand GWP from $25 million to $100 million without a proportional headcount rise, while underwriter satisfaction surged as routine data entry gave way to deal‑making. He stresses that vendors must articulate clear outcomes—more profitable business in less time—rather than vague AI labels. When AI is tied to a concrete problem statement, it becomes a compelling differentiator that drives profitability and operational efficiency.

Looking ahead, Yeoman sees embedded insurance and real‑time risk pricing as the next frontier, echoing the in‑play betting model that transformed gambling. By ingesting live data, insurers can offer instant, short‑tail coverage for journeys, rides or events, while regulators grapple with new compliance frameworks. The speed‑certainty balance also raises talent questions: automation should free underwriters for strategic analysis, not merely cut staff. As AI continues to democratize data, the industry must shift from “what can we build?” to “what problem do we solve?” to sustain growth and resilience.