Executive Briefs / 8 min
The Executive Guide to AI Readiness
A practical framework for assessing governance, data, infrastructure, workflow, and leadership readiness before scaling healthcare AI.
AI governance
Readiness before use cases
The strongest AI portfolios begin with operating readiness, not a list of tools. Leaders need a shared view of governance, data quality, infrastructure constraints, workflow ownership, and measurable value.
Build the decision framework
Create explicit criteria for risk, value, feasibility, and adoption. This makes prioritization repeatable and gives clinical, financial, technology, and compliance leaders a common language.
Sequence for learning
Start with bounded initiatives that produce evidence quickly. Use those results to improve governance and delivery capacity before expanding into more complex or autonomous workflows.