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
The Real-Time Data Edge: Why Speed and Accuracy Beat Volume in Underwriting
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What if real-time data and AI could transform compliance from a regulatory burden into a competitive advantage?
In this episode of Making Risk Flow, Pierre-Henri Janssens, CEO and Cofounder of Topograph, joins host Jake Harding to rethink compliance in insurance from first principles. They discuss why treating compliance as a regulatory burden limits growth, while real-time data and transparent workflows turn it into a competitive advantage. Pierre-Henri explains how connecting directly to official registries improves data accuracy, how vertical AI enhances document extraction, and why prioritizing high-impact signals prevents data overload.
The conversation also explores the build-versus-buy dilemma, the complexity of scaling across jurisdictions, and how orchestrating best-in-class solutions accelerates onboarding and improves conversion. It’s a pragmatic look at how insurers can transform compliance into measurable business value.
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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: