Market
Synthesized from layered exploration
The Problem
Healthcare back-office is massive and broken.
Most people look at utilization management and see "denial letters" or "prior auth automation." That's the surface.
The real problem: The relationship between payer and provider. Incentives. Information asymmetry. Judgment under pressure.
If you solve symptoms, you build band-aids. If you don't understand the real issues, you fail.
Why Silicon Valley Startups Fail Here
They think tech solves everything. "We're going to solve prior auth by building a tech platform for automation." No. That's not the issue.
If technology were the issue, Epic would not be a piece of crap. It's about incentives. It's about people.
This only amplifies with AI: If your fundamental ontology is "tech solves everything," you're going to fail at healthcare AI. The problem isn't automation — it's understanding what to automate and why and for whom.
The Size
Healthcare back-office is massive:
- Utilization management alone is a multi-billion dollar function across payers
- Broader thesis: AI + human expertise will restructure how healthcare administrative work gets done
- This isn't a feature — it's a platform shift
The Timing
Why now:
- AI capability crossed a threshold
- LLMs can handle judgment-intensive tasks that were previously human-only
- But you need people who understand healthcare deeply to know where AI helps vs. creates liability
- Most tech companies don't have that understanding
The window: First movers who get this right will define the category.
The Dynamics
Buyers: Health plans. Enterprise sales motion.
Sales cycle: Healthcare-slow. But movement is real.
Skepticism to address: Healthcare is a graveyard for tech startups. VCs have been burned. They need to believe you're different.