Safe & Rapid AI Adoption for Health System Executives
AI is Running, With or Without You.
Your AI decisions need a playbook that's already worked at peer health systems. We bring it-- board-ready, safe, and applied to your next 90 days.
Safe, rapid AI adoption, delivered one step at a time.
AI is Everywhere in Your Stack. You Can't See All of It. But You’re Expected To.
Vendors Flip AI on Without Asking
Epic. Workday. Your scheduling tool. Your ERP. Features ship in updates you already approved. You didn't buy "AI." It arrived inside things you already own.
Your AI Inventory Doesn't Match Reality
Claude in legal. Copilot in admin. ChatGPT Enterprise in some pocket of the org. Plus, the clinical point solutions. Nobody has a single list. Nobody knows what's actively running.
The 3 a.m. Call is Yours
When something breaks, the page hits the CIO, not the committee. Outcomes live with clinicians. Compliance lives with the safety officer. Uptime, reliability, and the explanation to the board live with you.
Your Clinicians Are Buying AI Without You
Your radiologist gets taken out to golf and comes back wanting a new AI tool. Your residents want to let it rip. Your administrators want Copilot. Every department brings a different ask. You broker them all.
Your Board Wants ROI You Can't Yet Produce
You're spending millions on AI tools and models. The board wants the story. Most teams stop at "the tool ran X times." The climb up to throughput, diagnoses, and outcomes — that ladder is where the board lives. We help you climb it.
Why Safety Matters
In Healthcare, "Safe" Means Two Things: Safe Now. And, Safe Over Time.
Anyone can move fast. In healthcare, speed without safety is a headline, and safety that doesn't hold is a false promise. Safe and reliable AI adoption is the line between AI that protects your patients and AI that becomes your next class action.
Safety
Reliability
This Isn't Theoretical. The Cost of Unsafe AI is Already on the Docket:
- Recorded without consent: Patients are suing California health systems over an ambient AI scribe that recorded visits without consent. Class actions vs. Sutter, MemorialCare & Sharp HealthCare, 2026 (the Abridge scribe). (Re-verify litigation status before publishing.)
- Care denied by algorithm: A major insurer faces a class action alleging it used AI to deny Medicare Advantage patients post-acute care, with roughly 90% of appealed denials later overturned. Estate of Lokken v. UnitedHealth.
- The law caught up: California AB 3030 (AI patient communication disclosure) and SB 1120 (bars health plans from letting AI deny care on medical necessity). Both effective on Jan. 1, 2025.
Responsible AI Now Has a Joint Commission Certification.
The Joint Commission's Responsible Use of AI in Health Care (RUAIH) certification is the first recognized, third-party standard for governing AI across its full lifecycle. It will be on the agenda of every health system board. Our AI Assurance Framework is built to get you ready and keep you there.
| 01 | Governance | Board-level oversight and a standing AI committee. Our Management & Structure pillar. |
| 02 | Effective Data Management | Secure data, privacy, and cybersecurity behind every model. Our Technology pillar. |
| 03 | Risk & Bias Reduction | Clinical-risk and bias controls at every point a tool meets a patient. Our Compliance & Clinical Risk pillar. |
| 04 | Monitoring & Validation | Live monitoring across the lifecycle, so drift is caught before a patient is. Built into every engagement. |
| 05 | Transparency, Education & Training | Patient transparency and clinician training that sticks. Our People pillar. |
WHY CHANGE
The Playbook that Built Your Reliability Wasn't Built for AI.
Your protocols, reviews, and frameworks worked because the systems they governed behaved predictably. AI is probabilistic. It learns, it drifts, and it scales one decision across every patient at once. Same discipline, new playbook.
Win Condition: Move Fast AND Safe
| What's Most Important | Before AI: Yesterday's Digital Playbook | Built for AI: Today's AI Playbook |
| Risk Visibility | Lagging | Real-time |
| Risk Scale | Per patient | System-wide |
| Decision Logic | Predictable | Probabilistic |
| Feedback | Periodic | Continuous |
| Oversight | Committee | Embedded |
Today's AI Playbook doesn't replace what you built. It extends it.
YOUR PATH FORWARD
Three Steps from Where You Are to Your Next AI Move
You don't need an AI overhaul. You need your next AI move. Here's the path every health system follows:
OUR METHODOLOGY
Five Pillars. Three Phases. One Framework.
Every engagement is structured around our proven AI Adoption Framework, ensuring governance covers your entire organization, not just IT.
Pillars
- Management & Structure: Board governance, AI committee formation, executive oversight
- Technology: AI inventory, EHR integration, vendor assessment, safety controls
- Financial: ROI framework, investment mapping, cost-benefit tracking
- Compliance & Clinical Risk: Regulatory readiness, med-mal protocols, audit trails
- People: Stakeholder alignment, clinician training, change management
Phases
- Phase 1: Readiness & Evaluation (Pre-Deployment)
- Phase 2: Testing & Usage (Deployment)
- Phase 3: Monitoring & Validation (Post-Deployment)
Proven at Mount Sinai
Real Governance. Real Results.
(EisnerAmper's) expertise, responsiveness, and commitment to quality were instrumental in creating a process that aligns with best practices in AI governance and compliance.
THE COST OF STANDING STILL
What Happens to the AI You're Not Watching?
Every month the AI you can’t see keeps running, the gap between what’s deployed and what’s governed grows. Your committee meets quarterly. The vendors ship weekly.
The Backlog Grows
Every vendor demo, every flipped feature, every department’s ask waits on you. Without a playbook to run them through, the pile grows faster than you can clear it.
You Stay Reactive
With no plan, every AI decision is a fire drill. You answer for tools after they’re live, not before. The cost isn’t one incident, it’s never getting ahead.
Board Blindness
Your board is asking about AI. Can you tell them exactly what's running, what it risks, and what it returns? Or, just that you "invested in technology?”
Shadow AI Spreads
When governance lags, clinicians route around it. They adopt tools you haven't vetted, on systems you don't control. The safety exposure grows, and the shadow AI you'll answer for later grows with it.
Unproven ROI
Millions spent on AI with no way to climb from tool-level metrics to board-level outcomes. The CFO sees cost. The board sees risk. Nobody sees performance.
Competitive Erosion
The health systems that adopt AI safely and govern it well will attract talent, patients, and partnerships. The ones that stall will explain why, to a board that already knows peers moved first.