05/27/2026
85% of healthcare organizations have explored or adopted AI. Only 18% are actually ready to deploy it in care delivery.
That gap? It’s where most AI projects quietly lose steam.
The pressure to move is real. Boards want a strategy. Investors want a roadmap. But the top obstacles to AI success are data quality and readiness (43%), lack of technical maturity (43%), and shortage of skills and data literacy (35%).
Those are not technology problems. They are infrastructure and organizational problems, and they do not get solved by picking a vendor. Informatica
The gap between adoption and readiness is the defining challenge in Health Tech AI right now.
The organizations making real progress are the ones that got honest about where they stood before they started building. That work is less exciting than a product demo. It also tends to be the difference between a proof of concept and something that actually ships.
That's exactly the work Chariot Solutions does with healthcare and life sciences organizations every day. We are not just building the technology, but building the AI readiness behind it.
If your team is stuck in the gap between exploration and deployment, let's talk.