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Proprietary Scoring Framework

What Is The
AI Trust Score?

The AI Trust Score is ZYNAGI's proprietary framework for measuring healthcare AI governance maturity, vendor risk, compliance readiness, operational controls, and organizational trustworthiness.

Most organizations are deploying artificial intelligence faster than they are governing it. The AI Trust Score provides executive leadership with a structured way to understand risk, identify gaps, benchmark progress, and build safer AI-enabled organizations.

Sample Organization — Healthcare Group

84/100

Advanced

Top 18% of Healthcare Orgs

+7 This Quarter
AI Governance91
HIPAA Readiness89
Security Controls85
Vendor Risk73
GEO Visibility67

The Problem

Why the AI Trust Score exists.

AI adoption across healthcare is accelerating at an unprecedented pace. EHR integrations, ambient documentation tools, diagnostic AI, patient communication platforms, and revenue cycle automation are being deployed across practices of all sizes — often without structured governance.

HIPAA regulations were written before modern AI existed. Healthcare organizations are navigating a compliance environment that has not yet caught up with the technology they are already using. The risk is not hypothetical — it is present and measurable.

Vendor oversight has become critical. The average healthcare organization now uses twelve or more AI tools — many of which lack documented BAAs, security certifications, or model transparency statements.

Executive teams need measurable visibility. Boards and C-suites cannot govern what they cannot see. The AI Trust Score translates complex governance posture into a single, trackable, benchmarkable number.

01

AI Adoption

Tools deployed without governance

⚠️
02

Governance Gap

Policies, oversight, and accountability

📊
03

Visibility

Measure, benchmark, and monitor

🛡️
04

Trust

Structured governance infrastructure

🚀
05

Growth

Enterprise credibility and patient trust

Scoring Framework

How the score works.

90–100

Industry Leader

Governance infrastructure is comprehensive, auditable, and executive-monitored.

80–89

Advanced

Strong governance posture with minor gaps. Ready for enterprise expansion.

70–79

Established

Foundational governance in place. Several areas require structured remediation.

60–69

Developing

Governance gaps present meaningful risk. Policy and oversight investment needed.

Below 60

High Risk

Significant exposure. Immediate remediation required across multiple pillars.

Composite Architecture

The 8 scoring pillars.

Each pillar is independently scored and weighted. The composite AI Trust Score is the weighted average of all eight pillars. Click any pillar to expand the full evaluation criteria.

Score Visualization

Scoring visualization.

Example — Advanced Healthcare Organization

AI Trust Score: 84/100

AI GovernanceVendor RiskHIPAA ReadinessReview ComplianceSecurityPolicy MaturityOps IntelligenceGEO Visibility
AI Governance91
20%
Vendor Risk73
15%
HIPAA Readiness89
15%
Review Compliance78
10%
Security85
10%
Policy Maturity82
10%
Ops Intelligence80
10%
GEO Visibility67
10%

Industry Context

Healthcare-specific factors.

AI governance requirements differ meaningfully across healthcare sectors. Each vertical carries unique risk profiles, regulatory nuances, and technology adoption patterns that the AI Trust Score accounts for.

🦷

Dental Practices & DSOs

Patient review HIPAA exposure
Multi-vendor AI imaging tools
Insurance portal AI integrations
Multi-location governance gaps
🏥

Medical Groups

EHR-integrated AI clinical tools
Ambient AI documentation risks
Referral network data exposure
Cross-specialty governance alignment
🧠

Behavioral Health

Sensitive PHI in AI notes
Telehealth AI session recording
Mental health data classification
Extra-sensitive privacy standards
💆

Med Spas

AI before/after image handling
Marketing AI and PHI overlap
Cosmetic procedure data sensitivity
Emerging AI aesthetics tools
😴

Sleep Medicine

Home sleep study device data
Remote monitoring AI systems
Continuous data stream governance
Device vendor oversight
💻

Health Tech Companies

Downstream vendor liability
AI model documentation requirements
Client BAA cascade obligations
Enterprise governance evidence

Benchmark Reports Center

Benchmarking framework.

The AI Trust Score is designed for comparison. Organizations can benchmark their composite and pillar scores against multiple peer groups simultaneously.

Industry averages across six healthcare verticals
Similar-sized organizations by revenue and location count
Multi-location healthcare groups and DSOs
Regional competitors by geography
National top-quartile and industry leaders
Your Organization84
Top 18%
Industry Average61
Average
Similar-Size Peers67
Peer Group
Regional Leaders78
Regional Top
National Leaders91
National Top

Executive Value

Why executives use the AI Trust Score.

CEO

Enterprise AI risk visibility
Board-ready governance reports
Competitive positioning intelligence
Quarterly benchmark comparison

COO

Operational risk monitoring
Multi-location performance tracking
Vendor oversight automation
Process governance evidence

Compliance Officer

HIPAA readiness scoring
Vendor BAA status monitoring
Review compliance tracking
Incident risk early warning

CIO / CTO

AI system inventory management
Security control assessment
Technology vendor due diligence
Governance documentation support

Practice Owner

Simplified governance visibility
Staff training gap identification
Vendor approval workflows
Patient trust signal improvement

Private Equity

Acquisition governance due diligence
Portfolio risk benchmarking
Pre-exit score improvement programs
Standardized scoring across investments

Board of Directors

Fiduciary AI risk visibility
Audit-ready governance reports
Executive accountability frameworks
Regulatory preparedness metrics

Knowledge Base

Frequently asked questions.

15 detailed answers covering methodology, scoring, HIPAA, vendor evaluation, and executive use cases.

Get Started

See How Your Organization Scores

Get an executive-level assessment of AI governance, vendor risk, compliance readiness, and operational trust.