Chapter 10 · Group 4: Establish Governance and Accountability
Does your governance model cover the full AI lifecycle?
Assess governance from intake and evaluation through deployment, monitoring, review, and retirement — and check whether rigor increases as autonomy and business impact increase.
Evaluate whether your AI governance program covers the full lifecycle. This tool applies the framework from Chapter 10 of The Enterprise AI Blueprint by W. Perry Underdown and returns a directional, structured read — not an audit finding.
Approximately 15 minutes · Results saved to your workspace · Free to start
The assessment examines
- Governance strategy
- Policies and standards
- Risk classification
- Review and approval
- Data and security controls
- Testing and evaluation
- Production monitoring
- Incident management
- Portfolio review
- Retirement and recordkeeping
What the assessment covers
Section 1
Part A — Autonomy-level awareness
Governance rigor should scale with how autonomous and consequential an AI use case is.
Section 2
Part B — Governance lifecycle
Rate each of the 10 lifecycle stages as Yes, Partially, or No.
Section 3
Part C — Role coverage
Which of these roles are clearly assigned and accountable for AI governance in your organization?
Continue the journey
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Create your workspace and start AI Governance Maturity Assessment.
Your answers, scores, and reports stay in one workspace so you and your team can track progress across all 16 tools.