There's a version of this problem I've already solved.
I've spent years building governed AI systems for institutions where the wrong output isn't just embarrassing. It's a liability. Higher education was the proving ground. The architecture translates directly.
Reps need speed. Legal needs compliance. Right now, you're choosing one.
Commercial teams need speed. Legal needs compliance. The tension between those two things is the same problem I've already solved in regulated institutional environments — just with different constraints and different stakes.
The architecture: AI pre-loaded with approved claims, cleared indications, and required safety language. Policy controlled centrally. The agent enforces it on every output. No off-label drift, no unapproved messaging, no exposure.
A health and wellness intelligence system built with PHI-conscious architecture, GDPR alignment, and clinician review baked in from day one. Not adapted for these constraints after the fact. Designed around them from the start.
See all systems →Patients in long appeals pipelines go cold. Most of them don't have to.
Prior authorization and appeals processes take months. Patients waiting for devices they need (CGMs, pumps, hearing aids) disengage, switch providers, or give up entirely. AI-enabled engagement keeps them informed, warm, and moving through a process they don't control.
The cadence, the language, the timing — all governed, all on-brand and compliant. Built around the patient's moment, not a generic marketing drip sequence. The same yield logic that works in enrollment works here. The pipeline problem is identical.
This is a space I've been watching closely. The architecture is proven. The problem is real.
If you're thinking about this too: