Juan de Castro
speaker
569 appearances
7 recordings
1 series
first heard Jun 2026
last heard 11 Aug
Juan de Castro’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 7 in all, peaking in Jul 2026 with 3.
Appearances
I think there's no better way to wrap up this chat with this description of how to become the preeminent specialty insurance company on the planet.
All I can say is thank you so much for joining me for this episode.
I've thoroughly enjoyed the conversation.
Cheers.
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Thanks for joining me.
See you next time.
Hello, my name is Juan DiCastro and you're listening to Making Risk Flow.
Every episode I sit down with my industry-leading guests to demystify digital risk flows, share practical knowledge, and help you use them to unlock scalability in commercial insurance.
Welcome to another episode of Making Risk Flow.
In today's episode, we sit down with Alison Hamilton, who leads US Customer Success at SayTora.
And we will explore what's really standing between commercial underwriting today and the new normal it could look like in, let's say, three to five years.
Alison brings a rare vantage point because before Saitora, she spent years on the
The carrier side, working across product management, distribution, underwriting strategy, and building out the operational performance function that measured underwriting itself.
That dual perspective, so having built a strategy carriers execute against, and now building the technology that helps them execute well, shapes everything we're going to talk about from why underwriting performance is fundamental.
Fundamentally a data discipline problem, to why the hardest part of transformation isn't the target operating model, but getting frontline behavior to actually change.
And we dig into where AI is overhyped and underhyped.
And I'm really looking forward to Alison's view on this and why trust and not technology or talent is the real barrier to carriers acting on automated recompensation.
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