What the AI Governance Program Builds
Most organizations that reach the point of formalizing AI governance are doing it retroactively — after a use case is already in production, after a customer or regulator asked a question no one could answer. The AI Governance Program builds the structure that should have existed from the start: a written AI Acceptable Use Policy, a Model Review Board with real intake and approval authority, a model inventory registry that stays current, algorithmic impact assessments for higher-risk use cases, and vendor AI risk scoring for the third-party tools your teams already rely on.
The program is built and mapped simultaneously against the NIST AI Risk Management Framework, ISO/IEC 42001, the EU AI Act (for organizations with EU exposure), and applicable state AI transparency requirements such as NYC Local Law 144’s bias-audit rules for automated employment decision tools and Colorado’s revised AI transparency law (SB 26-189, effective January 1, 2027). Quarterly executive briefings keep leadership current as both your AI footprint and the regulatory landscape evolve.
What’s Built and Operated
Delivered as a monthly managed program, not a one-time policy document.
AI Acceptable Use Policy
Written, enforceable policy governing employee and system use of AI tools, reviewed and updated as tools change.
Model Review Board
Cross-functional board with defined intake, approval, and periodic re-review authority for AI use cases.
Model Inventory Registry
Living registry of every model and AI system in use, kept current as tools are added or retired.
Impact Assessments & Vendor Scoring
Algorithmic impact assessments for higher-risk use cases plus a vendor AI risk-scoring methodology.
Mapped to Current AI Governance Requirements
The program tracks a moving regulatory target so your governance documentation stays current, not just compliant on the day it was written.
Frequently Asked Questions
Related VERITY AI Services
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