Fortune 20 Payer
Top Academic Hospitals in Texas
Fortune 20 Payer
Fortune 20 Payer
Most healthcare AI companies nail the technology. What they don't crack is the operational layer underneath it — the clinical workflows. the adoption infrastructure, the trust gaps between the product and the people using it.
That's where deployment stall, renewal conversations get harder, and expansion revenue hits a wall.
It's not a product problem, It's an implementation problem. And the longer it sits unsolved, the narrower your window gets.
Through the S.C.A.L.E. ™ Framework. I build the structured path from a stalled deployment to a repeatable operating model that holds.
A systematic approach to uncover and remove barriers that keep Healthcare AI products from true adoption and scale.
Uncover what's hidden. Most adoption failures start long before renewal conversations, and few teams see them coming.
Identify the stories you're telling about what's blocking progress. Most of those narratives are incomplete or wrong.
Recognize where stakeholders have stopped believing in the product. This is where silent churn begins.
Spot the momentum you already have. Most teams don't know where they're actually winning.
Diagnose what needs to shift before you can scale and build sustainable growth.
I sat on every side of this — from healthcare operator to leading AI strategy and product development at a Fortune 20 payer. That path taught me something most product team miss: healthcare is about human interaction. AI should bring the clinician closer to the patient. When it creates friction instead, adoption dies. And when adoption dies, your renewal is next.
I built Naitia Advisory for founders who already know that their technology works and need someone who has been inside the organizations they are selling into to make it stick.
That's the problem I built Naitia Advisory to solve.
We’ll talk through where your adoption stands, what’s putting your renewal at risk, and whether we’re the right fit to fix it.