CJ Przybyl, Co-founder & CEO: Reserv: Redefining Claims Outsourcing With Modern Technology (309)
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Description
Reserv’s proposition is to help MGAs and carriers improve claims handling and increase data availability, making claim information available through multiple large language model (LLM) tools feeding automated workflows. After our successful May Evening Event hosted in collaboration with Reserv, Robin Merttens caught up with CEO CJ Przybyl and discussed the technology behind Reserv, including the integration of generative AI and modern data infrastructure, as well as the company's growth and expansion plans in the UK and Europe. Key talking points include: Origins of Reserv and CJ’s experience co-founding Snapsheet Noticing an opportunity for start-up and established MGAs Building and scaling Reserv - the success story Why the UK market is unique for TPAs First job out of university - defining a trajectory Ensuring underwriting and claims are more conjoined and reactive  The ideal balance in a claims adjuster's world between what the machines do and what the humans do Dissatisfaction to digitisation - looking ahead to the future Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Describe what legacy issues surrounds few large TPAs and why this may leave some customers dissatisfied. Specify in what ways generative AI can alleviate processes claims Identify how underwriting and claims can be more conjoined If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 309 page of the InsTech website or email [email protected] to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.
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