HelloAI Executive
For decision makers and executives in healthcareAdoption has outrun leadership. In a 2025 physician survey, 67% used AI in daily practice, yet 71% had little or no say in which tools their organization deploys.1 A review of 92 studies names inadequate leadership support among the top organizational barriers to healthcare AI.2The workforce is ahead of the leadership meant to steer it. HelloAI Executive is the self-paced leadership module that closes that gap: ten short courses on how to set AI strategy, decide who owns it, govern it by risk, prove its value, and lead the change across a health system. It’s coming soon, and the waitlist is open.
Join the waitlistWhy this module exists.
across 100+ countries since 2018, program-wide.
Lead AI, don’t just adopt it.
AI is already running across your organization, often with no one accountable: EHR risk scores, ambient scribes, imaging triage, and shadow tools staff use through personal accounts. The technology arrived ahead of the leadership. HelloAI Executive is built for the decision makers who have to catch up, not by learning to code, but by learning to lead: strategy, ownership, governance, ROI, and sustainable adoption across a health system.
Self-paced and online
10 courses, 54 units
Strategy, governance, and ROI
Ten courses, from seeing the field to leading it.
Each course is short, self-paced, and grounded in 2026 evidence and real health-system case studies. Open any course to see what it covers.
01Landscape
The AI landscape in 2026
What AI in healthcare actually is right now, what is still hype, and the two shifts, multimodal and agentic, that change the next procurement wave.
- What’s real versus what’s hype
- Multimodal and agentic AI
- Building your first AI inventory
02Leadership
Why AI is a leadership problem
AI has moved past pilots. This is the case that it is now a leadership responsibility, not an IT project.
- The hype trap
- What makes a digital leader
- You can’t outsource transformation
03Strategy
AI strategy: the VIRA framework
Vision, Impact, Risks, Adoption. The spine of an executive AI strategy, held together rather than started in the middle.
- A demand-driven vision
- Avoiding the 95% pilot-failure trap
- Risk across the lifecycle
- Adoption that sticks
04Readiness
Data and infrastructure
Is your organization actually AI-ready? The data, integration, and infrastructure questions to answer before you buy.
- Data readiness and quality
- Infrastructure and EHR integration
- The readiness gaps to close first
05People
The 10-20-70 rule
Successful AI is 10% algorithms, 20% technology and data, and 70% people and process. Why most transformations fail, and what the leaders do differently.
- Why most transformations fail
- Do less, better
- From human-in-the-loop to human-in-the-lead
06Ownership
Who owns AI
Operating models and the Chief AI Officer. Which ownership model fits your organization, with the cases that ran each one.
- Centralized, federated, hub-and-spoke
- Choosing your model
- The CAIO role, with real operating-model cases
07Governance
Governance that scales with risk
The PPTO model across the AI lifecycle. Risk-based governance that covers the agent that acts, not just the tool that flags.
- Risk-based tiers
- Before, during, and after deployment
- People, Process, Technology, Operations
08Value
From priorities to proof
ROI, the value curve, and the reimbursement reality. How to prove value and defend the budget past year one.
- Clinical, workforce, and financial ROI
- The 2-3 year value curve
- Build, buy, or blend · the reimbursement reality
09Adoption
AI fluency and readiness
Building the skills and the trust to lead the change, and reading whether your organization is actually ready to move.
- The fluency gap and its risks
- Organizational readiness markers
- Change management and communication
10Deployment
From decision to deployment
Crossing the pilot-to-scale gap without stalling. The work of getting a tool acted on, and kept safe, the day after go-live.
- Why pilots stall at scale
- Adoption is the hinge, not accuracy
- A Safe AI Plan for after go-live
By the end, you’ll be able to:
- Design a healthcare AI strategy using a four-part framework: vision, impact, risk, and adoption.
- Compare centralized, federated, and hub-and-spoke operating models and assign clear ownership for AI in your organization.
- Apply a risk-based governance model across the full AI lifecycle, from problem definition through post-deployment monitoring.
- Measure AI ROI across three dimensions: clinical outcomes, workforce outcomes, and financial outcomes.
- Plan and protect budgets through the 2-3 year ROI value curve, beyond year-one expectations.
- Evaluate build, buy, or blend procurement decisions and contract for measurable performance, not just access.
- Drive adoption by engaging clinicians early, building AI fluency across the workforce, and managing change at scale.
A playbook you take back to your institution.
Every course ends with an Apply this step you run against your own organization. You finish with a working leadership playbook, not just notes.
A starting AI inventory
Every AI tool already running in your system, where it sits, who owns it, and whether anyone governs it.
A board-ready question set
The diagnostic questions to put on your next leadership and board agenda, with the reasoning behind each.
An honest readiness read
Where you stand on strategy, ownership, governance, and readiness, with the gaps named plainly.
A go / no-go discipline
How to decide what to deploy, plus a Safe AI Plan to keep it safe, used, and worth its cost after launch.
Frameworks you’ll walk away using.
A certificate that stays current.
Finish the module to earn a HelloAI Certificate of Completion, signed by HelloAI partner institutions. It is valid for 12 months and renewable with a short recertification check, so it keeps pace with a field that changes monthly.
It is a Certificate of Completion. It is not accredited for CME, CPD, or CE.
The premium leadership module.
HelloAI Foundations, Student, and Professional are open to the public at no cost. HelloAI Executive goes deeper, for the people leading AI across a health system, and it is a paid program. Pricing for individuals will be announced.
Join the waitlist to be first in line when it opens, and to help shape it.
Join the waitlist