Healthcare AI Governance Outcomes
We deliver audit-ready
AI governance
↔
Without hiring
governance teams

The safeguard standing between hospitals and AI liability

Born from a decade of secure clinical communication informed data infrastructure and AI standards leadership. Evolved into the governance outcomes hospitals need without hiring governance teams.

THE CFO CASE
Multi-billion dollar health systems: Sovereign infrastructure for enterprise AI governance
Click any metric to see detailed breakdown
💰 Current Governance Cost
$250K–$1M+
Annual spend: manual FTE costs, audit prep, consultant fees
⚠️ FCA Penalty Exposure
$14K–$29K
Per violation—systemic AI errors compound exponentially
📉 Labor Reallocation
30–60%
Labor reallocation via agent automation vs. manual workflows
📈 Payback Model
10x Value
Transform reactive waste into proactive infrastructure resilience
The Problem

Hospitals are deploying AI they don't control, generating data they don't own, creating liability they can't defend.

Vendor AI runs in third-party clouds. Hospitals don't control the audit trails, can't reconstruct decisions during litigation, and watch governance data leave their jurisdiction entirely. When connectivity fails, oversight fails with it.

D&O carriers are already requiring AI governance questionnaires for coverage binding, with hard mandates expected within 18 months (of 2026). Rating agencies are adding AI governance to credit methodology. The regulatory environment is removing federal guardrails, but tort liability, insurance scrutiny, and bond rating pressure remain unchanged.

The gap between AI deployment velocity and governance readiness is the largest unpriced risk in healthcare today. And right now, hospitals don't even own the evidence they'd need to defend themselves.

The Principle

If the hospital didn't generate it, store it, and control it, it isn't governance. It's a report from someone else's server.

Medigram's foundational architecture is built on a single premise: governance data belongs to the hospital. Not third-party vendors. Not the cloud provider. The institution making the clinical decisions owns the evidence trail. On their premises, under their control, on their timeline.

The Solution

Hospital-sovereign infrastructure that executes governance, not just documents it.

An autonomous agent fleet delivers audit-ready governance at enterprise scale without manual workflows or governance hiring. Built on standards-compliant infrastructure that generates litigation-grade evidence by default. The hospital owns every audit trail, controls every decision, and gets outcomes without becoming experts.

Medigram deploys commissioned cyber-physical infrastructure on hospital premises, built on a foundation of secure, offline-capable clinical communication and extended into comprehensive AI governance. The institution maintains operations independent of any third-party cloud. Operational coverage mapped to the national standards we helped write, with a structured commissioning process that validates governance in your environment before full deployment.

🏛️ Sovereignty
Hospital owns all governance data, audit trails, and evidence. On their premises, under their keys
⚡ Resilience
Commissioned hardware operates when cloud-dependent systems cannot
🤖 Orchestration
Autonomous agent fleet reallocating traditional headcount with capital-efficient automation
📋 Evidence
Cryptographic audit trails built for litigation-grade reconstruction
🔓 Independence
Vendor-neutral governance across all clinical AI tools
✅ Compliance
Operational coverage mapped to the national standards we helped author, validated through structured commissioning
🏥 5,000+
Hospital and MedTech members in consortium adopting standard in model contract language

Built for institutional scale with a permanently lean operating model. The agent fleet is the team. Designed for the power law era.

What to Know & What Your Colleagues Need to See

Interactive Platform Demonstration: This stakeholder-focused interface represents Medigram's award-winning standards execution infrastructure, demonstrated at AIMed 2025 and now operationalized through our autonomous agent fleet. Select your role below to see how governance translates into actionable intelligence for each executive function.

Click on your title to see what matters most to your role.

Data Governance for AI Maturity: TIPPSS Framework Score: - / 100
Trust
Identity
Privacy
Protection
Safety
Security

Select your role above to see governance through your lens.

Standards Alignment

Built aligned to the governance standards your compliance teams already reference. Medigram provides the operational infrastructure for the Hospital AI Operations Governance Standard we helped write.

IEEE UL 2933
Co-authored. TIPPSS clinical data infrastructure standard for trustworthy AI in healthcare
ISO 42001
AI management system requirements for responsible development and deployment
OWASP GenAI
Security risk framework for generative AI applications
NIST CSF
Cybersecurity framework for critical infrastructure protection and governance
Credentials
📝 Standards Authorship
Co-chair, Trust for IEEE UL 2933 data infrastructure standard and operationalizes and executes healthcare AI governance standards development
🤝 Coalition
Chair, multi-institutional trustworthy technology consortium with leading academic medical centers and health systems
📚 Publications
Series Editor, healthcare technology publications with a leading academic publisher
🏆 Recognition
National healthcare AI leadership award recipient
💼 Industry
Decade of enterprise healthcare experience across multiple disease areas
⚙️ Technical
Combined Sciences background with advanced AI/ML and R programming technical acumen
Why Now

Three market forces converging on a single timeline.

Federal deregulation is removing the compliance frameworks that anchored traditional governance approaches, eliminating established differentiation while leaving hospitals exposed to unchanged tort liability and insurance scrutiny. Hospitals now face unregulated AI deployment with no sovereign infrastructure to prove what happened, when, and why.

D&O insurance carriers are moving from questionnaires to mandatory governance endorsements within 18 months (of 2026). Hospitals without documented AI governance (governance they control, not a vendor report) face premium increases, specific exclusions, or loss of coverage entirely.

Meanwhile, procurement frameworks adopted across thousands of hospitals now reference the governance standards Medigram helped author. The market infrastructure we spent a decade building is becoming the market requirement.

Leadership
Sherri Douville

Sherri Douville

Chief Executive Officer

One of a rare few operating at the intersection of clinical, technical, regulatory, and standards authorship in healthcare AI. A career spent not just advising on governance frameworks, but writing them, then operationalizing and executing them.

With deep enterprise healthcare experience, advanced technical acumen, and recognized national leadership in AI governance, Sherri built Medigram to close the gap between AI deployment and the infrastructure required to govern it responsibly.

Dr. Arthur Douville

Dr. Arthur Douville

Chief Medical Officer

Former CMO at two health systems with a track record of building and scaling multiple clinical service lines. Grounds the company's technical architecture in real-world clinical operations and physician workflows.

Dr. Art Douville serves as Chief Medical Officer of Medigram and chairs the Clinical Integration committee for the Trustworthy Technology and Innovation in Healthcare Consortium, providing clinical expertise and supervision. His focus is on governance frameworks that guide AI involvement in patient care while protecting the physician's exercise of clinical judgement.

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