Making Risk Flow | The Future of Insurance
Making Risk Flow is a podcast powered by Cytora. This insurance podcast is designed to bring clarity, know-how and inspiration in driving digital transformation for commercial insurers, paying particular attention to the automation of risk processing. This podcast, led by industry veteran Juan de Castro as well as insurance change-makers, will showcase their learnings, challenges and solutions that have, or haven’t, worked for them. If you are embarking on leading a transformational project in your insurance company and want to make sense of it all - this podcast is for you.
To discover out more about digital risk processing, visit https://www.cytora.com
Making Risk Flow | The Future of Insurance
Finding the 20–40% Your Portfolio Is Missing | Greg Johnson & John Petricelli, Confianza
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In this episode of Making Risk Flow: Exploring the Ecosystem, host Jake Harding speaks with Greg Johnson, CEO of Confianza, and Chief Data Officer John Petricelli about the hidden profitability most carriers overlook. They explore how legacy data strategies leave 20–40% of premium and portfolio value untapped, and why context-driven, niche data sources are reshaping underwriting and renewals. From tenant risk and household composition to commodity-linked replacement costs and behavioural indicators, Greg and John explain how richer inputs create sharper risk selection and pricing accuracy.
The conversation also highlights portfolio optimisation as a powerful growth lever, identifying leakage, misclassified exposures, and cross-sell opportunities already within the book. It’s a practical discussion on engineering discipline in analytics and building a 360-degree view of risk to unlock measurable competitive advantage.
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Our previous guests include: Bronek Masojada of PPL, Craig Knightly of Inigo, Andrew Horton of QBE Insurance, Simon McGinn of Allianz, Stephane Flaquet of Hiscox, Matthew Grant of InsTech, Paul Brand of Convex, Paolo Cuomo of Gallagher Re, and Thierry Daucourt of AXA.
Check out the three most downloaded episodes: