The Promise of Continuous Underwriting

Much is said about the need to modernize insurance, an industry rife with legacy carriers tethered to outmoded systems. In spite of the apparent opportunities, insurtech has had a hard time displacing large incumbent organizations and their traditional approach to underwriting. The plodding carriers, driven by their risk-averse cultures and bureaucratic inertia, survive without being on the forefront of tech advancements. Meanwhile, some insurtechs are here today and gone tomorrow, due in part to approaches that produce unsustainable loss ratios. A focus on growth over everything else has rarely been a winning strategy.

The other part of the challenge is that insurtech has been slow to effectively harness the data needed to build better rating models. Setting aside regulatory obstacles, new data acquisition strategies were heralded as the path to more accurately and efficiently pricing risk and modernizing the industry. Several prominent insurtechs, with pressure to grow rapidly in a short time, have since back-pedaled on their data-centric prophecies when it became clear they had not achieved the levels of underwriting profitability they had forecasted. The incumbents consistently outperformed the newcomers by remaining diligent in prioritizing underwriting basics and enjoying the luxury of years of proprietary, historical experience data.