From Pilot to Production
Why 95% of Healthcare AI Never Ships
Building got easy. Shipping didn’t. Someone on the team builds a working AI demo in a weekend, it looks great, it gets shown to the board, and then it stops, because a demo and a system a clinician can depend on are two completely different things. That gap is where most healthcare AI dies. In 45 minutes, we’ll walk through what the other 5% do differently, with a team that has put 100% of what it built into production.
The Gap Between a Demo and a System
The model is rarely the problem. The gap is. Here’s what we’ll work through, using real projects rather than slideware.
Why the Demo Stalls
The weekend prototype that wows the board and then goes nowhere. What a clinician-dependable system actually requires that a demo skips, from data and edge cases to workflow, safety, and trust.
What Separates the Ones That Ship
The patterns we see across the healthcare AI projects that reach production, and the decisions early on that make the difference between a pilot that graduates and one that quietly dies.
First Email to Production in a Month
A real system we took from a first email to live production in about a month. What made that pace possible, and how the same approach applies to a pilot that’s currently stuck.
Bring your stuck pilot. We’re keeping 15 of the 45 minutes for live Q&A, because that’s the part that actually helps. If you have a project that’s stalled, bring it to the Q&A.
Bob Klein
Bob founded Digital Scientists in 2007 and has spent 19 years building and operating production software for organizations that can’t afford for it to break, the last 10 of them in regulated healthcare. His team built and runs NeverAlone, the post-acute telemedicine platform trusted by CommuniCare Health Services across 130+ skilled nursing facilities in 7 states, with a 96% treat-in-place rate and more than 100,000 calls completed in 2024. They also built HealthContext.AI, ambient clinical documentation running in production today. Across four healthcare AI solutions, Digital Scientists has delivered more than $20M in verified client ROI and a 100% production rate against a 5% industry average. Every solution the team has built has gone live and stayed live.
Who Should Attend
- Healthcare leaders whose AI pilot looked great in a demo and then stalled
- Executives deciding whether an AI project is ready to put in front of clinicians
- Product and technology leaders who need a demo to become a dependable system
- Anyone with a stuck pilot who wants a straight answer in the live Q&A
Save Your Seat
August 4, 2026 at 1:00 PM ET. Free, 45 minutes, and 15 of those are yours for questions. Registration is on Zoom.