John explains why underwriting discipline is the foundation of every successful AI initiative. Before organisations automate processes or deploy advanced analytics, they need clear underwriting appetite, consistent governance, reliable pricing strategies, and robust feedback loops that connect underwriting decisions with claims outcomes.

John also shares practical advice for organisations embarking on digital transformation, arguing that simple, incremental improvements consistently outperform overly ambitious AI programmes. By focusing on explainable solutions, high quality data, and gradual implementation, insurers can build trust in AI while delivering measurable business value.

Ultimately, this episode highlights a simple but powerful principle: successful insurance transformation isn't about replacing human expertise; it's about giving underwriters better information, better processes, and better tools to make smarter decisions.


John Pyall is Chief Underwriting Officer at China Taiping Insurance (UK) Co. Ltd., where he leads the company's underwriting and reinsurance strategy, ensuring sustainable portfolio growth while meeting regulatory and governance requirements.

With extensive international experience across underwriting, claims, product governance, and reinsurance, John has held senior leadership roles in the London Market, Germany, and Asia. Prior to joining China Taiping Insurance (UK) Co. Ltd., he led Product and Underwriting at Great Lakes Insurance SE, overseeing global product governance, product design, and underwriting standards across international insurance portfolios.

John is also a published author, technical editor, qualified mediator and arbitrator, and contributor to several leading insurance textbooks, including the Chartered Insurance Institute's publication on reinsurance. 

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Serious about Process is handcrafted by our friends over at: fame.so

This conversation looks at a critical issue: according to a global study by Accenture, over 60% of an underwriter’s time is often spent on low-value administrative tasks. And so, Roger introduces a practical three-step framework: start by improving productivity through process automation, then enhance risk selection using AI, and finally scale solutions sustainably. This staged approach avoids the common trap of trying to overhaul everything at once and failing to deliver results. And ultimately, it gives underwriters the time, tools, and processes to do their best work.


Roger Lewis is a seasoned insurance professional with over 25 years of experience as a London Market underwriter. He is the Founder and Principal Consultant at Fuse Consulting Services, where he helps insurers improve underwriting performance, risk selection, and operational efficiency.
 

If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. 

Serious about Process is handcrafted by our friends over at: fame.so

Catrin is passionate about making insurance pricing education accessible, practical, and engaging - moving away from traditional, outdated training methods. Her mission is to develop highly skilled pricing professionals who become respected leaders within the industry.

She is also the author of A Risky Business: An Introduction to Actuarial Science, where she brings clarity and real-world relevance to complex actuarial concepts.

If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. 

Serious about Process is handcrafted by our friends over at: fame.so

Serious about Process is handcrafted by our friends over at: fame.so