AI adoption without governance is not innovation — it is unmanaged risk.
This playbook installs the committee, policies, controls and review cadence that let an organization use AI boldly while staying responsible, compliant and trusted.
The AI governance components
Seven components make AI safe to scale.
AI Committee
Cross-functional oversight with a clear mandate.
Principles & Ethics
Fairness, transparency, privacy and human oversight.
Use-Case Approval
Risk-tiered intake, review and sign-off.
Data & Model Controls
Provenance, quality, security and monitoring.
Human Oversight
Where a human must stay in the loop.
Compliance
Regulatory alignment and audit trails.
Monitoring & Review
Drift, incidents and periodic reassessment.
Govern AI to use it boldly.
Risk-tiered approval
Productivity tools — lightweight approval, standard controls.
Customer or operational impact — committee review and monitoring.
Decisions affecting people or safety — executive sign-off, human oversight, audit.