On Air with Zuk on IT

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In a recent interview on Sutton Capital's The Investor Podcast, I had the chance to discuss the critical, yet often overlooked, gap between an investment thesis and daily execution.

An insurtech "resurgence" is being driven by AI-enhanced underwriting, though human relationships remain the essential "risk fidelity." 

Insurtech & Innovation - listen to the podcast here

The Rise of MGAs, Sidecars & AI in Insurance 

What does your investor do when your startup misses budget? When the market shifts against you? When things go wrong that are completely outside your control?

Insurance used to be straightforward. Risks were predictable, policies were consistent, and underwriters could lean on decades of historical data to guide their decisions. Those days are over. 

Money moves fast in financial services, but moving money isn't enough. The real challenge is building something that lasts. 

How founders can build strong relationships with investors before and after raising capital. 

Everyone is excited about Large Language Models, and they should be—but there’s a fundamental misunderstanding at the leadership level.

It isn’t about whether technology will replace underwriters and brokers—it’s about how it will augment them. AI-driven triage, smarter segmentation, and removing operational hurdles.

Private equity is evolving. Capital alone isn't enough. Capability creation is the new differentiator. Value creation is now a product, not a promise.

As the market shifts and rates begin to ease, many agencies might feel a sense of relief, but a soft market is actually when team weaknesses are most exposed.