Is AI included in your system’s priorities — and is there a roadmap guiding investments over time?

Is there a senior leader responsible for AI — and do they influence direction, resources, and results?

Are AI projects prioritized and funded like other investments — with business cases, ROI targets, and approvals?

Are AI results reviewed — and does feedback shape future investments?

How well does your organization align AI initiatives with business goals and long-term vision?

Strategy and vision

Are AI projects co-designed with clinical, operational, or frontline input?

Are staff getting the training and support to use AI tools confidently?

Is the workforce being prepared for AI — through upskilling, role shifts, or reskilling?

Do leaders frame AI as helpful — and encourage learning and experimentation?

Do you have a secure, scalable setup to run AI beyond local pilots?

Is your data clean, structured, and clearly owned for AI use?

Once models are built, how are they tested, deployed, and maintained?

Can AI systems access needed data — or are old systems blocking progress?

Is there a defined process — and a group — for reviewing, approving, and revisiting AI? Are prohibited uses documented?

Do you have shared principles for how AI should be used — and are they embedded in policies, tools, and workflows?

How are risks identified and updated across the AI lifecycle — and are they tied to operational or patient impact?

Are AI practices aligned to external standards — and applied to vendors and third-party tools?

Are AI pilots launched with clear goals, owners, and success criteria?

Is there a central team to manage AI rollout, training, and change?

Do you track AI adoption and use insights to guide scaling or support?

Are lessons from rollout captured and used to improve future efforts?

Do AI initiatives have defined goals, and is there evidence they achieved impact?

Are AI results tracked in dashboards or reports?

Do leaders review AI performance to guide decisions?

Are results used to adjust funding or scale? Are outcomes benchmarked?