Only 10-15% of AI pilots reach production. For most payers and providers, the barrier isn't the model. It's the fragmented data underneath it. We partner with you to close the data readiness gap and move AI from isolated pilots to enterprise scale.
The numbers tell the real story
Source: Everest Group, The AI Readiness Imperative, 2026
Why AI ambitions stall
Healthcare data isn't the problem - access to it is.
Your clinical records, claims systems, and operational platforms generate enormous volumes of information every day. But that data sits in silos, follows inconsistent standards, and rarely reaches the workflows where decisions happen. Build AI on a fragmented foundation, and the results are predictable: inaccurate predictions, low adoption, and limited trust.
The shift to value-based care raises the stakes. Real-time, outcome-driven decisions demand more than incremental analytics upgrades. They require a deliberate data strategy that integrates every source, connects every system, and embeds intelligence where it counts.
The question isn't whether you need AI. It's whether your data is ready for it.
From fragmented data to enterprise AI: the roadmap
You know where you want to go. We help you find where to start. Our journey runs across six phases, each building on the last.
You know where you want to go. We help you find where to start. Our journey runs across six phases, each building on the last.
Ready to move beyond the pilot?
Most health plans already have the data. What they lack is the foundation to turn it into enterprise AI value – across architecture, governance, and execution.