Establish AI Governance and Acceptable Use Policies
Most organizations claim to be working on AI governance, but few have systems that actually function. Effective governance creates clear lanes that let people move fast on low-risk uses while ensuring high-stakes applications receive appropriate scrutiny. Without real governance, organizations either stifle AI adoption through excessive approvals or expose themselves to data breaches and regulatory risk through uncontrolled experimentation.
Proficiency Level
This is a preview of how skill assessment works in Admire
Measurable Behaviors
Each behavior is directly observable and can be assessed through manager observation. In Admire, these drive evidence-based skill tracking.
Stand Up Tiered Governance Structure
Establishes a tiered governance structure with a strategic committee, operational review board, and technical working groups, each with a formal charter defining decision rights.
Deploy Organization-Wide AI Acceptable Use Policy
Deploys an AI acceptable use policy covering approved uses, data protection rules, tool approval processes, and enforcement mechanisms across the entire organization.
Implement Risk-Tiered Approval Process
Implements risk-tiered approval where low-risk uses proceed with minimal oversight, medium-risk requires review board approval, and high-risk requires full committee sign-off.
Review and Update Policies Quarterly
Reviews and updates AI governance policies quarterly as AI capabilities evolve and regulatory requirements shift.
Staff Governance with Cross-Functional Representation
Staffs governance bodies with cross-functional representation from legal, compliance, security, HR, and business leaders to ensure policies reflect real organizational complexity.
This is a preview of how behavior tracking works in Admire
Mastering AI Governance and Policy Development
A leader who has mastered this skill builds and maintains tiered governance structures with clear decision rights, deploys enforceable acceptable use policies across the organization, and staffs governance bodies with cross-functional representation. Their governance system is reviewed and updated quarterly as AI capabilities evolve, and it enables rapid low-risk adoption while applying genuine scrutiny where stakes are high.