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
Breaking Industry Silos: The Hidden Power of Standardised Data in Specialty | Bilge Mert, Brit Insurance
In this episode of Making Risk Flow, host Juan de Castro speaks with Bilge Mert, Chief Technology and Transformation Officer at Brit Insurance, about what it takes to drive meaningful digital transformation in commercial insurance. Bilge shares her approach to standardising processes across lines of business, leveraging AI to unlock efficiency, and building scalable technology foundations that support long-term innovation.
Discover how combining insurance expertise with cross-industry experience can accelerate digital transformation, and learn practical approaches to breaking down silos while driving organisational change. Whether you're leading technology initiatives in insurance or interested in industry innovation, this conversation delivers actionable strategies for building scalable, future-ready insurance operations.
To receive a custom demo from Cytora, click here and use the code 'Making Risk Flow'.
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: