Move from AI ambition to real deployment.
Access trusted AI strategists who've taken healthcare organizations from pilots to production — building the governance, data foundations, and clinical workflows that make AI safe, useful, and actually adopted.
The reality
Everyone's buying AI. Few are ready to run it.
AI promises transformational gains. But most organizations aren't prepared to deploy it safely, govern it well, or scale it past a pilot. Six gaps stand in the way.
No AI governance or oversight
Without policies for safety, bias, and accountability, AI projects stall in legal review — or ship unmanaged risk.
Data that isn't AI-ready
Fragmented, ungoverned, and poorly labeled data undermines model performance long before a single use case ships.
Pilots that never scale
Promising proofs-of-concept die in the gap between a demo and a production workflow clinicians actually use.
Unclear clinical value
Tools get adopted for novelty, not outcomes — with no link to quality, cost, or the problems clinicians actually feel.
Workforce skepticism
Clinicians worry about safety, liability, and added clicks — and disengage when AI is imposed rather than co-designed.
No prioritization framework
Teams chase every shiny use case at once instead of sequencing the few that are feasible today and high-value.
These challenges are solvable — with the right expertise and approach.
How we help
AI readiness solution areas.
Expert support for healthcare teams moving from AI ambition to governed, adopted deployment — across the full journey.
AI strategy & use-case prioritization
Identify, score, and sequence the use cases that are feasible today and tied to real clinical or financial value.
Governance, safety & risk
Stand up the policies, oversight, and monitoring that keep AI safe, compliant, and accountable as it scales.
Data foundations & infrastructure
Get data clean, governed, and accessible so models are built on a foundation you can actually trust.
Clinical workflow integration
Embed AI at the point of care so it reduces burden instead of adding clicks and alert fatigue.
Vendor & build-vs-buy evaluation
Cut through vendor hype with structured evaluation of accuracy, fit, total cost, and integration risk.
Change management & adoption
Bring clinicians along with training, co-design, and the trust AI tools need to actually get used.
Ways to engage
Three ways to bring an AI strategist into the work.
Start small or go deep. Every expert is bookable for a focused consult, a scoped project, or an ongoing fractional role — on transparent terms, with the right person matched to where you are on the AI journey.
Consult
Single session · same week
Pressure-test a decision, get a second opinion, or unblock a specific question in a focused working session with a vetted expert.
- 30–60 minute working session
- Transparent, fixed price
- Book in minutes, no RFP
Project
Scoped · weeks to months
A defined engagement with clear deliverables — an AI readiness assessment, a governance framework, or a priority pilot scoped and stood up with you.
- Defined scope & milestones
- Named expert or small team
- Fixed or milestone pricing
Fractional
Embedded · ongoing
Ongoing leadership capacity without a full-time hire — an experienced operator who carries the work week over week as you scale.
- Part-time embedded leadership
- Recurring weekly cadence
- Scales up or down with need
Not sure which fits? Start with a consult and scale from there.
Get started →The roster
AI readiness experts.
A growing roster of advisors who've led AI strategy, governance, and deployment inside health systems, payers, and health-tech — available for brief consults, defined projects, and fractional leadership.
+40Care Transformation Studio enables your organization to leverage a deep and diverse knowledge cadre of leaders in Digital Health and AI spaces who are committed to accelerating the transformation healthcare delivery on a global and individual basis.
Larry BridgesmithAI Readiness Practice Area Lead, Care Transformation Studio
A leader's guide to AI readiness
A practical playbook for moving from AI ambition to governed, adopted deployment — how to prioritize use cases, stand up oversight, and bring clinicians along.
Frequently asked questions