We help hospitals, children’s hospitals, and medical device companies implement FDA-ready, HIPAA-compliant AI governance at 40-70% lower cost than Big Four consultancies.
Healthcare organizations face an impossible choice when deploying AI
6-12 months, $200K-$500K, generic frameworks, junior staff
Limited framework coverage, unproven methodologies, can't scale
Regulatory complexity, high risk of mistakes, no validated frameworks
Security-first AI governance, delivered by senior practitioners, at a fraction of traditional consulting costs.
We verify, test, and prove control. No vendor claims without validation.
AI drifts, models fail, vendors get compromised. We build governance that handles failure gracefully.
Audit-ready documentation, immutable logs, traceability. Governance that survives FDA inspection.
Clear approval paths, risk-based controls, fast-track processes. Governance accelerates deployment.
Investment: $9,500 | Timeline: 1 week
When You Need This:
You're deploying AI but lack visibility into what systems exist, where PHI flows, and which AI tools pose regulatory or security risk.
What You Get:
✓ Complete AI system inventory across your organization
✓ Risk scoring matrix (clinical impact × PHI exposure × regulatory concern)
✓ Priority ranking of which systems need immediate governance
✓ 3 critical next steps with timeline and cost estimates
Deliverable:
✓ 15-page Risk Assessment Report with executive summary
Investment: $12,500 | Timeline: 1 week
When You Need This:
Your clinical AI makes predictions, recommendations, or treatment decisions—and you need a definitive answer: "Is this FDA-regulated?"
What You Get:
✓ Detailed analysis against FDA's medical device definition (21 CFR 201(h))
✓ Clinical intended use evaluation
✓ Risk classification if device determination applies
✓ Regulatory pathway recommendation (510(k), De Novo, PMA, or exempt)
✓ Written determination memo defensible in FDA communication
Deliverable:
✓ FDA Medical Device Determination Report (20-25 pages)
Investment: $65,000 – $140,000 | Timeline: 4-6 week
When You Need This:
AI is already in your clinical workflows, but you lack a clear inventory, risk visibility, PHI-aware controls, or governance framework for procurement, deployment, and monitoring.
What You Get:
✓ Complete AI inventory and risk assessment
✓ AI Governance Charter with decision authorities and approval workflows
✓ Risk management framework aligned to NIST AI RMF
✓ PHI flow mapping for all AI systems
✓ Vendor assessment criteria and due diligence templates
✓ Model monitoring requirements and drift detection protocols
✓ Incident response procedures for AI-specific failures
✓ Training curriculum for clinical staff and IT teams
Deliverable:
✓ AI Governance Program Charter (40 pages)
✓ Risk Assessment Database (system-by-system)
✓ Implementation Roadmap (12-month phased rollout)
Pricing Drivers:
→ $65K: Single department or <10 AI systems
→ $95K: Multi-department or 10-25 AI systems
→ $140K: Enterprise-wide or >25 AI systems
Investment: $75,000 | Timeline: 8 weeks
When You Need This:
You need everything—assessment, framework design, policy creation, and hands-on implementation support to go from zero to a fully operational AI governance program.
What You Get:
Everything in the AI Security & Governance Blueprint PLUS:
✓ Hands-on policy implementation and system configuration
✓ Staff training delivery (clinical, IT, compliance teams)
✓ First 90 days of governance operations support
✓ Quarterly governance committee facilitation
✓ Vendor contract review and BAA negotiation support
✓ Mock audit preparation and documentation review
Deliverable:
✓ Complete governance program (policies, procedures, templates)
✓ Configured systems (inventory tracking, risk register, monitoring dashboards)
✓ Trained governance team ready to operate independently
✓ 90-day post-implementation support
Best For:
Organizations with limited internal governance expertise who need full implementation, not just documentation.
Investment: $90,000 – $250,000 | Timeline: 6-10 weeksInvestment: $75,000 | Timeline: 8 weeks
When You Need This:
Your AI systems lack healthcare-grade security controls—PHI leaks through logs and prompts, models run without proper access controls, and your SOC has no visibility into AI-specific threats.
What You Get:
✓ Secure AI architecture design (data flow, access controls, segmentation)
✓ PHI sanitization for training data, prompts, logs, and outputs
✓ Adversarial attack defense (prompt injection, model extraction, data poisoning)
✓ SIEM/SOC integration with AI-specific threat detection
✓ Audit trail and immutability requirements for model decisions
✓ Encryption standards for models, data, and inference pipelines
✓ Penetration testing scope for AI attack surfaces
✓ Zero-trust architecture for AI system access
Deliverables:
✓ Secure AI Architecture Design Document (60-80 pages)
✓ Implementation Guide with technical specifications
✓ Security testing protocols and acceptance criteria
✓ SIEM integration playbook
Pricing Drivers:
→ $90K: Single AI system hardening
→ $150K: 3-5 AI systems or custom LLM deployment
→ $250K: Enterprise-wide hardening across multiple systems
Investment: $85,000 – $180,000 | Timeline: 16-20 weeks
The Challenge
Your AI system is a medical device requiring FDA submission. You need design controls, quality systems, risk management files, and validation documentation FDA expects.
What You Get (Meridian AI Delivers):
✓ AI/ML-specific design controls framework
✓ Risk management file (ISO 14971) for AI systems
✓ Software validation protocols and testing documentation
✓ Quality system documentation (design history file)
✓ Post-market surveillance plan for model monitoring
✓ Clinical evaluation framework for AI performance
What Our Partner Delivers (FDA Submission Specialist):
✓ 510(k), De Novo, or PMA submission writing and filing
✓ FDA pre-submission meetings and strategy
✓ Clinical trial design, if required
✓ Regulatory correspondence and deficiency responses
Our Model:
Meridian AI handles governance and quality systems (our expertise). We coordinate with specialized FDA regulatory consultants for actual submission execution (their expertise). This honest partnership ensures you get deep capability in both areas without either firm overreaching.
Deliverables (Meridian AI):
✓ Design Controls Documentation (80-120 pages)
✓ Risk Management File
✓ Software Validation Package
✓ Quality System Procedures
Pricing Drivers:
→ $85K: Class I or II device with predicate pathway
→ $130K: Class II De Novo or complex predicate
→ $180K: Class III or novel AI/ML technology
Important:
FDA submission filing costs are separate and handled by our regulatory partner (typically $40K-$150K depending on pathway).
Investment: $40,000 – $150,000 | Timeline: 4-8 weeks
When You Need This
Your AI systems depend on pre-trained models, vendor APIs, open-source libraries, and cloud services—but you have zero visibility into model provenance, training data sources, or dependency vulnerabilities.
What You Get:
✓ Complete AI supply chain mapping (models, data, libraries, vendors)
✓ Model provenance verification and training data source evaluation
✓ Dependency vulnerability assessment (CVE tracking, SBOM generation)
✓ Vendor security evaluation (SOC 2, HIPAA BAA, data handling)
✓ Adversarial attack surface analysis
✓ Supply chain risk scoring and mitigation recommendations
✓ Continuous monitoring framework for supply chain changes
Deliverables:
✓ AI Supply Chain Inventory and Risk Assessment (50-70 pages)
✓ Software Bill of Materials (SBOM) for all AI components
✓ Vendor Security Scorecard
✓ Monitoring and alerting protocols
Pricing Drivers:
→ $40K: Single AI system with limited dependencies
→ $80K: Multiple systems or complex vendor ecosystem
→ $150K: Enterprise-wide supply chain assessment
Critical For:
Medical device companies needing supply chain documentation for FDA submissions.
Investment: $50,000 – $120,000 | Timeline: 6-10 weeks
When You Need This:
AI workflows process PHI in ways traditional HIPAA compliance doesn't address—training data, prompts, outputs, logs, and model parameters all potentially contain PHI without clear boundaries or controls.
What You Get:
✓ PHI flow mapping for all AI workflows (input, processing, storage, output)
✓ Data minimization standards for AI training and inference
✓ Retention and destruction policies for AI-generated data
✓ Access controls and audit logging for PHI in AI systems
✓ De-identification standards for AI training data
✓ Breach notification protocols for AI-specific PHI exposure
✓ Business Associate Agreement (BAA) requirements for AI vendors
✓ Employee training on PHI handling in AI contexts
Deliverables:
✓ HIPAA-AI Data Governance Framework (60-90 pages)
✓ PHI Flow Diagrams for each AI system
✓ Policy and procedure library (12-15 documents)
✓ Vendor BAA evaluation checklist
Pricing Drivers:
→ $50K: Single department or limited AI deployment
→ $80K: Multi-department with complex PHI flows
→ $120K: Enterprise-wide with LLM deployment or extensive AI usage
Investment: $45,000 – $110,000 | Timeline: 6-10 weeks
When You Need This:
You're a children's hospital deploying AI for pediatric care. Generic AI governance frameworks don't address guardian consent, age-specific clinical risk, developmental considerations, or extremely low tolerance for AI-driven harm.
What You Get:
✓ Pediatric-specific risk assessment framework
✓ Guardian and child consent protocols for AI-assisted care
✓ Age-stratified clinical risk models (neonate, infant, child, adolescent)
✓ Developmental consideration standards for AI recommendations
✓ Bias detection focused on pediatric populations
✓ Family notification requirements for AI involvement in care
✓ Emergency override protocols for AI-generated alerts
✓ Specialized training for pediatric clinicians on AI limitations
Deliverables:
✓ Pediatric AI Safety Framework (50-70 pages)
✓ Age-Stratified Risk Assessment Matrix
✓ Family communication templates and consent forms
✓ Clinical decision support protocols
Pricing Drivers:
→ $45K: Limited AI deployment (2-3 clinical systems)
→ $75K: Multiple departments or system-wide implementation
→ $110K: Enterprise-wide with research and clinical trial AI
Investment: $8,000 – $25,000/month | Commitment: 12-month minimum
When You Need This:
Governance isn't one-time—AI systems evolve, new deployments happen, vendors change, regulations update, and models drift. You need ongoing strategic oversight without the $200K-$400K/year cost of a full-time Chief AI Governance Officer.
What You Get:
✓ Monthly governance program health assessment
✓ Quarterly board-ready AI risk reporting
✓ New AI system evaluation and approval support
✓ Regulatory change monitoring and impact analysis
✓ Vendor relationship management and BAA review
✓ Incident investigation and root cause analysis for AI failures
✓ Annual program audit and improvement recommendations
✓ On-call support for urgent AI governance questions
Service Levels:
→ $8K/month: Quarterly reporting, annual program review, email support
→ $15K/month: Monthly reporting, semi-annual reviews, vendor management, 2-hour response SLA
→ $25K/month: Bi-weekly check-ins, continuous monitoring, incident response, same-day response SLA
Best For:
Organizations with established governance programs needing expert oversight without full-time headcount.
Every engagement led by senior principals - you get the expertise you're paying for, not junior staff ramping up on
your time.
Clinical AI, documentation, imaging, operations, and decision support—all under one security-hardened governance model. FDA medical device determination included.
Pediatric PHI, guardian consent, age-specific risk models, and high-stakes care require dedicated AI guardrails. We built a specialized Pediatric AI Safety Program for this.
AI-enabled devices, FDA submission readiness, model supply chains, and edge inference with security baked in. From design controls through post-market surveillance.
Become enterprise-ready with AI security and governance your customers can trust. HIPAA BAA-ready, audit-ready documentation, and customer-facing security architecture.
PHI-heavy analytics and LLM workflows governed, monitored, and defensible. Clinical decision support that satisfies regulatory and contractual obligations.
We founded MeridianAI after seeing the same pattern repeatedly: healthcare organizations deploying AI without the security and governance infrastructure it requires.
Hospitals had clinical AI running in production—sepsis prediction, imaging analysis, documentation—but no clear inventory of what AI existed, no PHI-aware controls, and no one who could definitively answer: “Is this FDA-regulated?”
Medical device companies were building AI-powered devices with brilliant clinical teams but lacked the governance and quality systems FDA expects. They’d discover this 18 months into development—too late to retrofit without massive delays.
The options available were all bad:
– Big Four consultancies charging $200K-$800K for 6-12 month generic AI governance programs
– Boutique firms with unproven methodologies and limited healthcare depth
– Go it alone and risk FDA enforcement, HIPAA violations, or worse—AI-driven patient harm
We built MeridianAI to change this.
We bring 20+ years of cybersecurity discipline specifically to healthcare AI governance. Not generic AI governance adapted for healthcare. Not compliance theater. Security-hardened, audit-ready, defensible governance.
We made a deliberate choice: healthcare only. Not financial services. Not manufacturing. Healthcare.
Why? Because healthcare AI governance requires depth:
– FDA medical device regulations (SaMD, MDDS, CDS)
– HIPAA privacy and security rules (PHI in training data, prompts, logs)
– Clinical safety standards (ISO 14971, IEC 62304)
– NIST AI RMF adapted for healthcare contexts
You can’t be an expert in healthcare AI governance and also do retail, finance, and manufacturing. We chose depth over breadth.
We work exclusively with healthcare organizations deploying AI. We deliver in weeks, not months. We charge 40-70% less than Big Four consultancies while maintaining senior-led, enterprise-grade quality.
If you’re a hospital, children’s hospital, medical device company, payer, or healthtech vendor deploying AI—and you need governance that’s secure, compliant, and defensible—we should talk.
MeridianAI is led by senior cybersecurity and compliance practitioners with:
– 20+ years implementing security programs in regulated industries
– CISSP and CISM certifications
– Deep healthcare regulatory expertise (FDA, HIPAA, NIST)
– Enterprise-scale program development experience
Every engagement is led by senior principals—you get the expertise you’re paying for, not junior staff learning on your project.
Security and governance should enable AI deployment, not smother it.
We don’t believe in compliance theater—creating policies that no one reads and controls that no one enforces. We build governance that’s:
– Technically defensible (not just policy documents)
– Audit-ready (survives FDA inspection and OCR investigation)
– Operationally practical (integrates with clinical workflows)
– Security-hardened (designed for failure, not perfection)
We assume risk is real. We don’t trust vendor claims, marketing materials, or default configurations. We verify, test, and prove control—the same discipline we bring to security architecture.
We design for failure. AI will drift. Models will fail. Vendors will be compromised. We build governance that expects and handles failure gracefully.
AI governance here requires depth:
You can’t master healthcare AI governance while serving finance, retail, and manufacturing. We chose depth over breadth.
We deliver in 4-10 weeks at 40-70% lower cost than Big Four consultancies. Every engagement led by senior principals—you get expertise, not junior staff.
| Factor | MeridianAI | Big Four | Boutique |
|---|---|---|---|
| Timeline | 4-10 weeks | 6-12 months | 8-16 weeks |
| Investment | $9.5K-$250K | $200K-$500K+ | $40K-$150K |
| Staffing | Senior principals | 60-80% junior | Small team |
| Focus | Healthcare-only | Multi-industry | Limited |
| Pricing | Transparent, fixed | Opaque, T&M | Varies |
We help you deploy AI safely and securely—without slowing innovation.