Measure organizational readiness, governance maturity, vendor exposure, compliance posture, and operational trust through a unified executive scoring system.
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Executive Trust Dashboard
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AI Trust Score
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Governance
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This assessment uses artificial intelligence to generate recommendations designed to support—not replace—professional decision making.
What the AI Trust Score Measures
The AI Trust Score evaluates eight weighted dimensions of organizational AI governance maturity — translating complex compliance, governance, and risk posture into a single executive metric.
Detect AI tool proliferation, governance policy indicators, inventory gaps, and oversight structure across your organization.
Map third-party AI vendor relationships, assess BAA coverage, and identify unreviewed vendors with PHI or sensitive data access.
Evaluate HIPAA compliance posture, regulatory gap exposure, audit readiness, and documentation control maturity.
Review infrastructure confidence, security headers, transport layer indicators, and AI-specific security control coverage.
Compare your AI Trust Score against anonymous industry peers, top quartile performers, and sector-specific benchmarks.
Track score movement monthly, detect governance changes, and receive executive alerts when trust signals shift.
Assess AI policy completeness, acceptable use frameworks, staff training coverage, and documentation control quality.
Receive a prioritized 90-day improvement plan with phased actions projected to increase your Trust Score.
Visualize governance status, risk concentration, vendor oversight, and compliance gaps in a board-ready executive format.
Why Trust Matters
Ungoverned AI vendor relationships create HIPAA violations, data exposure, and operational risk that accumulates invisibly until an incident reveals it.
Organizations without governance frameworks are making AI decisions without the infrastructure those decisions require. Governance enables responsible scale.
AI systems without validation, monitoring, and oversight create operational dependencies that organizations cannot manage, predict, or protect against.
Regulatory enforcement of AI compliance obligations is accelerating. Organizations that are not compliance-ready will face exam findings and remediation costs.
Boards and senior leadership require governance visibility to fulfill their fiduciary obligations — and cannot govern what they cannot measure.
AI governance maturity is increasingly a due diligence factor in acquisition transactions — with governance gaps creating liability, integration cost, and valuation exposure.
Organizations with documented AI governance maturity command premium enterprise value — demonstrating the infrastructure, controls, and leadership that acquirers and investors require.
Engagement Models
Move from unmanaged AI adoption to governed AI operations with assessments, vendor reviews, governance frameworks, and enterprise programs.
Establish a baseline of AI usage, governance maturity, and organizational risk exposure.
Learn MoreEvaluate AI vendors for risk, data handling, privacy, and compliance considerations.
Learn MoreDevelop governance structures, policies, workflows, and operational guidance.
Learn MoreA governance operating model for organizations managing AI across departments.
Learn MoreAI Governance Assessment
Industry Benchmarking
Continuous Monitoring
Vendor Risk Intelligence
Flagship Intelligence Platform
Measure organizational readiness, governance maturity, vendor exposure, and compliance posture — then monitor, benchmark, and improve over time.
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