Governance Control Map — Sample
What a Production-Grade AI Governance Audit Looks Like
A redacted one-page sample of the Governance Control Map artifact produced in AW governance engagements. Shows how deployed AI systems are mapped to autonomy levels, permission violations flagged, sovereignty gaps identified, and an overall risk threshold scored.
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See what a production-grade AI governance audit produces
A redacted sample of the one-page Governance Control Map artifact: autonomy levels, permission violations, sovereignty gaps, and remediation priority — all on a single page.
What's covered
Inside the sample
01
What the Map Shows
- Each AI system mapped to its actual autonomy level (A0–A3)
- Permission boundary violations highlighted — where least-privilege was not enforced
- Sovereignty gaps flagged per domain — systems acting outside their certified scope
- ARD coverage gaps — deployed agents without formal requirements documentation
- Autonomy Reserve threshold — organizational headroom before failure modes become unrecoverable
- Remediation priority ranking — which gaps to close first
02
Who This Is For
- CTO or head of AI presenting governance posture to board or audit committee
- Enterprise architecture team benchmarking their own governance against production standards
- Compliance or legal lead evaluating AI governance evidence for SOC 2, HIPAA, or FedRAMP
- AI program manager building the case for a formal governance architecture review
Next Step
Turn this into a decision path leadership can use
Use this resource to frame the decision, then move into the advisory path that defines governance, prioritization, and the next architecture step.
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