Industry Benchmark Data
Primary research data from the ZYNAGI Benchmark Engine—the most comprehensive dataset on enterprise AI governance posture across regulated industries. All statistics sourced from ZYNAGI assessment participants and independent analysis.
Citation format: ZYNAGI Research, 2026 — zynagi.com/statistics
AI Governance & Trust
78%
of healthcare organizations lack a formal AI governance policy
ZYNAGI Benchmark Data, 2026
61%
of AI vendors used in healthcare have incomplete or missing BAAs
ZYNAGI Vendor Intelligence, 2026
43%
of DSOs have zero documented AI incident response protocols
ZYNAGI DSO Benchmark, 2026
82
is the average AI Trust Score for top-quartile healthcare organizations
ZYNAGI Trust Index, 2026
54
is the average AI Trust Score across all assessed organizations
ZYNAGI Benchmark Engine, 2026
Vendor Risk Intelligence
67%
of healthcare AI vendors lack a published model explainability statement
ZYNAGI Vendor Intelligence, 2026
3.4x
higher regulatory exposure risk for organizations with unregistered AI vendors
ZYNAGI Risk Analysis, 2026
82%
of organizations have never conducted formal AI vendor due diligence
ZYNAGI Assessment Data, 2026
12+
average number of AI tools deployed per healthcare organization
ZYNAGI Platform Data, 2026
Healthcare AI Governance
91%
of hospital CIOs cite AI governance as a top-3 strategic priority for 2026
ZYNAGI Executive Survey, 2026
29%
of medical groups have designated an AI governance officer or committee
ZYNAGI Medical Group Benchmark, 2026
55%
of HIPAA-covered entities have AI tools processing PHI without documented oversight
ZYNAGI HIPAA Scan Data, 2026
2.1x
more likely to pass HIPAA audit when AI governance framework is implemented
ZYNAGI Compliance Analysis, 2026
DSO & Multi-Location Governance
84%
of DSOs have inconsistent AI tool usage across locations
ZYNAGI DSO Intelligence, 2026
38%
of DSOs review AI vendor contracts less than once per year
ZYNAGI DSO Benchmark, 2026
6.2x
higher governance risk exposure for DSOs without centralized AI oversight
ZYNAGI Risk Model, 2026
Executive & Board Accountability
73%
of board members have never received a formal AI risk briefing
ZYNAGI Executive Survey, 2026
48%
of CEOs lack visibility into which AI tools their organization currently uses
ZYNAGI Executive Benchmark, 2026
$4.8M
average total cost of an AI-related data governance incident in healthcare
ZYNAGI Risk Estimation Model, 2026
Statistics Center
In-depth statistics resources covering governance adoption, healthcare AI, dental AI, vendor risk, and implementation data.
Governance adoption, risk management, vendor oversight, and executive leadership data.
Explore →Healthcare AI adoption rates, clinical applications, and governance challenges.
Explore →Dental AI adoption across practices, group practices, and DSOs.
Explore →Security incidents, compliance gaps, contract risks, and monitoring failures.
Explore →Implementation success rates, adoption challenges, and change management data.
Explore →AI adoption trends, compliance considerations, and governance data for financial advisory firms.
Explore →Law firm AI adoption, governance trends, and professional responsibility considerations.
Explore →Governance program adoption, vendor oversight, and compliance metrics in healthcare.
Explore →AI adoption patterns, governance trends, and implementation data for dental support organizations.
Explore →Benchmark datasets covering governance maturity, vendor risk, and compliance across industries.
Explore →Industry-specific benchmark reports comparing governance maturity.
Explore →Data Usage & Citation
All statistics presented on this page are sourced from ZYNAGI's proprietary benchmark data, assessment platform, and primary research programs. Journalists, analysts, and researchers are welcome to cite ZYNAGI statistics with attribution. Recommended citation: ZYNAGI Research, 2026. AI Governance Statistics. zynagi.com/statistics
Authority Cluster
Benchmark Reports Center
Industry-specific benchmark reports comparing governance maturity across verticals.
AI Trust Index
Trust score benchmarks, top-quartile performers, and scoring methodology.
Executive Risk Library
Frameworks, case studies, and executive guidance on AI governance risk.
Research Center
Primary research, vendor intelligence, and governance trend analysis.
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