The ShiftShapers Podcast

The episode contains useful structural insights about captive health plans and self-funding mechanisms, particularly around the three risk-transfer layers and governance models. However, it relies heavily on storytelling and repetition of core concepts rather than dense, novel information. Many claims lack supporting data or mechanisms - e.g., how exactly the school reduced maternity claims by 50%, or what specific interventions drove the 4-5% claim trend versus the market's 8-10%.

“you have your summary plan description, your SPD, which basically lays out what you're gonna cover, what you're not gonna cover, limits of coverage, all the rest. You have your stop loss contract, which protects you uh when you have unforeseen liability, and there are levers you can pull in that to decrease or increase spend”

“The next $300,000, because that's the captive layer, right? It's a shared risk layer. It's called a floating deductible.”

The captive insurance structure itself is not novel - captives have existed for decades in healthcare. The framing of health insurance as a 'casino' is a metaphor, not a new insight. The governance model based on equal votes and two-thirds majorities is borrowed directly from the U.S. Senate structure, acknowledged by the guest. The transparency argument and consumer-directed healthcare philosophy are well-worn in healthcare policy circles.

“I I just made that cross, that, that cross-reference because I feel like the healthcare system is not designed for the end consumer. I believe it's designed for the four rulemaking entities that created it.”

“I designed the bylaws like our United States Senate, where everybody gets an equal vote regardless of size.”

Mark Gaunya is well-credentialed: 30+ years in employee benefits, principal at a major insurance brokerage (Borislow Insurance), and founder/operator of an active platform with real clients generating measurable results. He is a practitioner, not a theorist. The host's disclosure of having worked with him adds credibility. However, the episode lacks depth on Gaunya's personal track record - no discussion of specific companies he's built, failed ventures, or personal skin-in-the-game beyond the current platform.

“Mark Gaunya, principal at Borislow Insurance, and more importantly, for today's conversation, founder of Captivated Health. Mark brings more than 30 years of experience in employee benefits”

“By way of full disclosure, Mark and I worked together for a few years in the early, early days of Captivated Health.”

The episode includes specific dollar figures (the Nashville school's $100k vs. $50k maternity cost, the $40M on balance sheets, $15-16M in distributions, $4,000 diaper/wipe value). However, many claims lack concrete evidence: the 4-5% claim trend advantage over market is stated but not validated with independent data; the pharmacy trend reversal is mentioned but no specifics on magnitude or duration; the $40M figure lacks context (is it risk-adjusted? annualized?). Case studies are anecdotal, not statistically representative.

“over almost 12 years put over $40 million on their balance sheet. Money that would have gone to the health insurance carriers, the PBMs, um, and the large hospital systems”

“it costs $100,000 to have a baby. Um it's not what the member pays, but that's what the whole billing cycle shows. Absolutely insane. $100,000. So what we did is notice that that was a risk in their data. And we went to the CFO and said, we we are gonna negotiate a bundle contract, which we did with the Vanderbilt Health System that gave the expectant mother...the claim cost, instead of it being 100,000, was discounted to 50,000.”

The host asks reasonable opening questions and allows Gaunya to develop ideas, but rarely challenges or probes deeper. When Gaunya makes broad claims (e.g., 'healthcare literacy is 14%'), the host does not ask for citations or push back. Follow-ups are mostly affirming ('That's right,' 'Yeah') rather than investigative. The host does not question whether the captive model works for all employer sizes, the selection bias in the case studies, or why adoption remains limited if results are so strong. The conversation flows but lacks intellectual friction.

“And when you have no claim information, you have no way of understanding what you're paying for. I I've said for years, actually, as you know, at Zealot for transparency.”

“So I wanted to use the experience of our clients on this platform to tell the story. So it's not an insurance guy talking about insurance things. It's my clients, our clients talking about their experience on the platform and in their own words.”