Jake Fackrell: AI Won't Fix Healthcare. But It Will Expose What's Broken

What happens when an entrepreneur who built businesses around structuring messy, unstructured data turns his attention to healthcare? You don't get incremental change. You get a complete reimagining of how money moves through the system. In this episode of the Go-To-Market Podcast, host Amy Osmond Cook sits down with Jake Fackrell, COO at Savvos Health, for a conversation that challenges one of the most entrenched—and broken—systems in the U.S. economy: healthcare payments. Jake shares how his early ventures by structuring raw real estate data and building near real-time obituary and death record systems, laid the foundation for tackling healthcare's biggest inefficiencies. Why This Episode Matters Healthcare costs are rising at unsustainable rates—often increasing 20–30% annually for employers. But according to Jake, the real problem isn't just cost. It's complexity, opacity, and a system designed around delayed transactions and misaligned incentives. He reflects on building early "AI-like" systems using regex and structured logic and how modern AI has collapsed timelines from years to months (or even weeks). Jake explains that while most companies try to improve claims processing, Savvos Health asks, what if claims processing didn't exist at all? Instead of adding features to a broken model, Jake explains how Savvos Health is doing something far more disruptive: –Eliminating claims processing altogether –Replacing reimbursement cycles with real-time payments –Creating transparent, pre-negotiated pricing before care is delivered This conversation illustrates what happens when you apply data thinking—and now AI acceleration—to one of the most inefficient financial systems in existence. Watch now to see how one company is rewriting the rules of healthcare and what it means for every industry still clinging to outdated processes.