074: Finding the Path of Least Resistance with Warren Bainbridge

<p>Are you concerned about the speed of market evolution, and trying to keep up the pace? How can you boost efficiency in your acquisition of solutions for your clients? Is there any way to remain confident in your business ventures as the world remains profoundly uncertain?</p> <p>In this episode of the Insurance Brokers’ Podcast, we’re very pleased to be speaking with Warren Bainbridge, Head of Wholesale and Distribution at Kingsbridge Insurance Brokers. Warren has extensive breadth of experience in the industry, spanning many different sectors and perspectives. In conversation with Boston Tullis’ Sarah Myerscough, he shares enlightening anecdotes and advice regarding changes in the distribution chain from reinsurance to consumer, how it has evolved over the past decade and how he anticipates it to develop in years to come.</p> <p> </p> <p>Quote of the Episode</p> <p>‘If an insurer or an MGA makes things simple or easy to do business with, then brokers will naturally gravitate to that.’</p> <p>Throughout the episode, Warren frequently suggests that the ‘path of least resistance’ is often the most profitable and providential for brokers. Given the volatility and fluctuating nature of the world and its impacts on the market, he suggests that if brokers identify an opportunity with an insurer for a straightforward process from risk presentation to solution provision, they will take it. As such, insurers should endeavour to make their processes accessible and welcoming for brokers who, in turn, should always be equipped with the necessary information about their client and the risk at hand, thereby facilitating a straightforward claims-making process for every customer.</p> <p> </p> <p>Key Takeaways</p> <p>Over the past few years, the importance of e-trade solutions has accelerated significantly. Warren suggests that brokers and insurers alike should aim to employ this route for as much activity as possible, but maintains that certain complex solutions and larger-income risks require human intervention. Ult