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
Advanced
Top 18% of Healthcare Orgs
The Problem
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.
AI Adoption
Tools deployed without governance
Governance Gap
Policies, oversight, and accountability
Visibility
Measure, benchmark, and monitor
Trust
Structured governance infrastructure
Growth
Enterprise credibility and patient trust
Scoring Framework
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
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
Example — Advanced Healthcare Organization
AI Trust Score: 84/100
Industry Context
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.
Benchmark Reports Center
The AI Trust Score is designed for comparison. Organizations can benchmark their composite and pillar scores against multiple peer groups simultaneously.
Executive Value
CEO
COO
Compliance Officer
CIO / CTO
Practice Owner
Private Equity
Board of Directors
Knowledge Base
15 detailed answers covering methodology, scoring, HIPAA, vendor evaluation, and executive use cases.
Get Started
Get an executive-level assessment of AI governance, vendor risk, compliance readiness, and operational trust.
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