Avoid $10M mistakes.
Accelerate $50M decisions.
The private council for healthcare leaders making multi-million dollar AI decisions.
You are making the most consequential technology decisions of your career — often in isolation. This is the room built for leaders at your exact level, with your exact pressures.
Trusted by leaders from
You're making decisions
without the full picture.
The healthcare AI landscape is overwhelming, and the stakes have never been higher. Current options fail the executive who needs strategic clarity, not more noise.
Conferences are too broad
Designed for mass audiences, not for the executive making a $20M AI infrastructure decision next quarter.
Vendors are inherently biased
No vendor has a financial incentive to tell you not to buy. The gaps persist because the people who could close them profit from their existence.
Internal teams lack cross-system clarity
Your team can execute. They cannot independently validate a multi-million dollar AI investment against what other leading health systems are actually doing.
AI decisions are fragmented
36% of health systems lack a formal AI prioritization framework. The result: pilots that never scale, capital wasted, and momentum lost.
The gap between AI hype and operational reality.
There is a profound gap between what vendors promise and what health systems actually experience. Leaders lack access to real-world, peer-validated data. There is no transparency into what other health systems are paying, what they are failing at, and what is actually working.
Without a trusted strategic layer, you are navigating a complex, high-stakes transformation without a map.
No peer transparency
What are other health systems actually deploying? What did they pay? What failed?
No trusted strategic layer
Consultants assume infrastructure that doesn't exist. Vendors pitch, not advise.
No real-world data
Case studies are sanitized. You need the unfiltered post-mortem, not the press release.
The price of isolation
is measured in millions.
These are not hypothetical risks. They are the documented outcomes of health systems making AI decisions without peer validation.
Wrong AI vendor selection
Locked into a multi-year contract with a vendor whose product cannot scale across your system. Rip-and-replace costs are rarely budgeted.
Pilot programs that never scale
36% of health systems are stuck in pilot mode. Sunk costs accumulate. Organizational fatigue sets in. The window to lead closes.
Fragmented AI infrastructure
Incompatible systems purchased across departments without a unified architecture. The integration debt compounds every quarter.
Regulatory and compliance missteps
AI governance failures create liability exposure, reputational damage, and regulatory scrutiny that no budget line can fully absorb.
Workforce misalignment
AI deployed without a workforce redesign strategy drives clinician burnout, resistance, and turnover — the opposite of the intended outcome.
Missing the strategic window
The health systems that get AI right in 2026 will define the next decade of care delivery. The cost of being late is not measured in dollars alone.
"The most expensive line item in your health system never appears on any financial statement. It's the cost of the decision you made alone."
One room.
The right people.
The right decisions.
The AI Health System Council is a private, curated, peer-level environment focused entirely on strategy and execution. Designed for the executive who needs absolute clarity — not more noise.
We strip away the hype to focus on what matters: actionable frameworks, real case breakdowns, and peer-to-peer transparency from leaders running the same race.
Invitation-only. Every member is vetted for peer-level alignment.
No vendors. No noise. No fluff. Only the right people.
Same-level executives. The conversation stays at the strategic layer.
Members report back on commitments. This is not a passive audience.
For those who carry
the weight of the decision.
You bear the responsibility for large-scale, high-stakes decisions that will define the future of your health system. You feel the isolation at the top — there is no one in your current professional life whose job it is to give you the unvarnished truth.
You have the mindset to lead. You need the room to match it.
Health System CEOs
Accountable for the enterprise AI strategy and its financial outcomes.
Chief Medical Officers
Navigating the intersection of clinical excellence and AI transformation.
CMIOs / CDOs
Leading digital health strategy and AI governance across the enterprise.
Digital Health Executives
Responsible for deploying AI at scale across complex health systems.
Payer Executives
Leveraging AI to transform care management and operational efficiency.
Government Health Leaders
Setting policy and strategy for AI in public health systems.
This council is explicitly NOT for:
Clarity, validated by peers.
Membership provides the strategic infrastructure to lead with confidence — in the room and between sessions.
8–10 Expert Sessions / Year
Deep-dive working sessions with functional experts who have navigated your exact challenges at scale.
AI Decision Frameworks
Proven models for prioritizing, evaluating, and governing AI investments — built for health system realities.
Real Case Breakdowns
Unfiltered post-mortems of AI implementations. What worked, what failed, and what it actually cost.
Peer Insights
Direct access to the strategies of other elite health system leaders. No sanitized case studies.
Direct Founder Access
Strategic guidance from Dr. Harvey Castro and Dr. David Rhew between sessions.
Strategic Clarity
The confidence to accelerate the right initiatives and kill the wrong ones — before they cost millions.
Private Resource Vault
Every session recording, framework, and playbook — permanently accessible in your member portal. Your institutional knowledge base grows with every session.
Peer Discussion Board
Ask questions between sessions. "Has anyone evaluated this vendor?" or "What governance model worked for you?" — get answers from peers who have been there.
Member Directory
Know who is in the room. A private, searchable directory of your fellow founding members — their roles, health systems, and AI priorities.
The path to the room.
Application
Submit your request for an invitation. We review your profile, role, and the strategic challenges you are navigating.
Selection
We evaluate each applicant for peer-level alignment. Not every application is accepted — this protects the quality of the room.
Onboarding
A strategic intake session to understand your specific AI challenges, priorities, and what you need from the council.
Working Sessions
8–10 expert-led, peer-driven sessions per year (roughly every 5–6 weeks). High-impact agendas, real data on the table, and commitments made and tracked.
Ongoing Access
Continuous connection with the council, its resources, and direct access to founders between sessions.
What we actually discuss.
Every session is focused on the intersection of AI, strategy, and measurable ROI. No theory. No vendor pitches. No basic education.
Where AI actually creates ROI
Evidence-based analysis of which AI use cases are delivering measurable returns in health systems today.
What NOT to invest in
The $10M mistakes. The pilots that never scaled. The vendors that overpromised. The frameworks to avoid them.
Scaling AI across systems
Moving from isolated pilots to enterprise-wide deployment. Governance, infrastructure, and change management.
AI governance frameworks
Building the accountability structures, ethical guardrails, and decision-making processes that regulators and boards expect.
Workforce redesign with AI
Reducing clinician burden, redesigning roles, and building the human-AI collaboration model that retains talent.
Population health AI
Leveraging AI to identify high-risk populations, optimize care pathways, and demonstrate value-based care outcomes.
Revenue cycle optimization
AI applications in prior authorization, coding accuracy, denial management, and financial performance.
Clinical decision support at scale
Deploying AI-assisted diagnostics and clinical decision tools across a health system without creating alert fatigue.
Led by those who have
navigated the complexity.
The Council is guided by strategic leaders, not influencers. Both founders bring the clinical credibility and executive experience required to lead this conversation.
Harvey Castro, MD
ER Physician · Chief AI Officer · AI Futurist
Dr. Harvey Castro is a practicing emergency physician, Chief AI Officer, and one of healthcare's most recognized voices on artificial intelligence. He brings a rare combination of frontline clinical experience and strategic technology leadership — having advised health systems, authored books on AI in medicine, and spoken on global stages about the future of healthcare.
His work sits at the intersection of patient care and enterprise AI strategy, ensuring that technology decisions are grounded in clinical reality and designed to improve outcomes at scale.
David Rhew, MD
Healthcare Executive · AI Leader · Digital Health Strategist
Dr. David Rhew is a seasoned healthcare executive with deep expertise in digital health strategy and AI-driven transformation. Having led technology and clinical innovation at enterprise scale, he understands the organizational, financial, and clinical dimensions of deploying AI across complex health systems.
His strategic perspective is grounded in the realities of executive decision-making — the governance challenges, the ROI pressures, and the workforce implications that define successful AI transformation.
"If you're the smartest person in every room,
this is not that room."
The highest ROI investment
you will make this year.
The cost of membership is a fraction of the cost of a single bad AI decision.
Strictly limited to 50 founding members
FUTURE PRICING
After founding cohort closes
Founding members lock in the $20K rate permanently. As the council grows in reputation and impact, pricing will reflect the value delivered.
The cost of membership vs. the cost of one bad AI decision:
$20,000 vs. $1,000,000+
Do not make your next
$10M decision alone.
The Founding Cohort is strictly limited to 50 seats to ensure the highest quality of peer interaction. Once these seats are filled, the doors close and future pricing applies.
This is not a product. This is a room. And the right room changes everything.
Applications are reviewed individually. Not every application is accepted.
What is the cost of
getting it wrong?
Adjust the sliders to reflect your situation. Industry averages are shown for reference. Use the custom field to enter your exact numbers.
Largest AI Contract Under Consideration
The value of your largest single AI vendor contract or initiative currently under evaluation.
Avg. health system AI contract: $4.2M
AI Initiatives in Next 2 Years
Total number of distinct AI projects, pilots, or vendor contracts you expect to evaluate or launch.
Avg. health system: 3 active AI initiatives
Health System Annual Revenue
Your organization's total annual revenue. Larger systems face proportionally higher AI decision stakes.
Avg. US health system revenue: $2.1B
Estimates based on: KLAS Research 2024 AI Implementation Report (30% average overrun rate), Manatt Health 2026 CEO AI Survey (18% value leakage from delayed decisions), Vizient AI ROI Framework. For illustrative purposes.
Value at Stake vs. Membership Cost
Implementation Risk
$3.8M
Estimated overrun exposure
Opportunity Value
$37.8M
From accelerated decisions
Total Value at Stake
$41.6M
Membership Cost
$20K
Estimated council membership ROI
Questions we hear
before people apply.
We have answered the most common ones here. If yours is not listed, email us directly at [email protected].
Conferences put you in a room with 2,000 people, half of whom are vendors. Vendor briefings are sales calls with slides. The Council is neither. It is a closed room of 50 peers — all at your level, none with anything to sell — working through the same decisions you are. No keynotes. No booths. No pitches. Just peer-level transparency on decisions that matter.
Consider what is at stake: the average health system AI contract is $4–8M. A single implementation overrun, a failed vendor selection, or a delayed decision can cost 10–30x the membership fee. The Council exists precisely to give you the peer intelligence that prevents those outcomes. Most members find the ROI in the first session. Use the calculator on this page to model your own numbers.
Eight to ten working sessions per year — roughly every five to six weeks — each running 90 minutes. Sessions are scheduled well in advance to respect your calendar. Between sessions, the member portal is available on your schedule: access resources, post a question to the board, or browse the directory when it is convenient for you. There are no mandatory attendance requirements, though members who engage consistently report the most value.
The founding cohort is limited to 50 senior healthcare executives — CEOs, CMOs, CMIOs, CDOs, and equivalent leaders at health systems, hospital networks, and large medical groups. We do not publish the member list publicly to protect member privacy, but you will have access to the full member directory once accepted. Every applicant is individually vetted for peer-level fit before an invitation is extended.
No. The Council is strictly peer-only. Vendors, consultants, technology companies, and anyone with a commercial interest in the AI decisions being discussed are not eligible for membership. This is a non-negotiable condition of the council's integrity. If a member's role changes to a vendor or advisory capacity, their membership is reviewed.
We review every application individually and respond within 5–7 business days. If your application is not accepted for the founding cohort — due to capacity, role fit, or peer alignment — we will let you know respectfully. Your information is not shared and is handled per our Privacy Notice. You are welcome to reapply for future cohorts.
Apply for the
Founding Cohort.
Applications are reviewed individually. We accept only those who meet the peer-level standard of the council. 50 founding seats. No exceptions.
Every applicant is individually vetted. Your LinkedIn profile helps us confirm peer-level fit before extending an invitation.
Peer intelligence
changes decisions.
The most consequential AI decisions I've made in the last two years were shaped by what I learned from peers who had already been through it. That kind of transparency is priceless.
Chief Medical Officer
Regional Health System, $2.4B
Illustrative composite — names withheld per Chatham House Rule
We avoided a $7M vendor commitment that three other systems had already walked away from. We only knew because someone in the room had been through it six months earlier.
Chief Digital Officer
Academic Medical Center
Illustrative composite — names withheld per Chatham House Rule
I've been to every major health IT conference. Nothing comes close to the quality of conversation in a room where everyone has real skin in the game and no one is selling anything.
Chief Medical Information Officer
Integrated Health Network, $5B+
Illustrative composite — names withheld per Chatham House Rule