AI STRATEGY
Operationalize AI Governance from Day One
Know Who’s Using What and How
Governance starts with visibility. Tracking how AI is used, by whom, and for what purpose is critical to maintaining responsible and secure operations.
Why it's Important
Establishes accountability for model use
Identifies misuse or unintended applications
Enables permissions management and audit trails
Supports compliance with internal and external policies
Builds trust with users and stakeholders
How to Implement
Set up user roles (e.g., admin, editor, reviewer, guest)
Log feature usage per user/session/model
Define and enforce permissions by role
Track usage frequency and intensity per feature
Store usage logs with timestamps and metadata
Create usage visualizations and summaries
Conduct periodic usage reviews and audits
Available Workshops
Role-Based Access Mapping
Usage Logging Schema Design
Permissions Simulation Scenarios
Audit Trail Readiness Test
AI Capabilities vs. Risk Brainstorm
Compliance Team Roundtable
Deliverables
Usage and access policy
Role definitions and permissions table
Usage log schema and implementation plan
Access review checklist
Monthly usage summary report
How to Measure
% of actions with tracked attribution
% of access violations or anomalies
Log completeness and coverage rate
Role-based usage distribution
Audit pass/fail rate
Frequency of unauthorized model usage
Pro Tips
Integrate permissions into your deployment platform (e.g., Auth0, Okta)
Use dashboards to show top users and most-used features
Automate alerts for permission changes or risky use patterns
Cross-reference usage with support tickets or user roles
Share summarized usage data in board updates
Get It Right
Make logs machine- and human-readable
Include usage tracking in onboarding and offboarding
Review permissions quarterly or at team changes
Align logging with legal and IT standards
Visualize trends to spot suspicious patterns
Don't Make These Mistakes
Granting all users admin privileges
Failing to log sensitive model interactions
Not removing access from offboarded users
Not blocking personal access to AI tools
Ignoring internal usage drift
Skipping log reviews unless an incident happens