# Board AI Oversight Readiness Checklist

Use this in board, risk committee, or audit committee sessions to quickly assess AI governance maturity.

Scoring:
- `0` = No evidence / not started
- `1` = Partial / inconsistent
- `2` = Defined and working

## 1) AI Visibility and Ownership
1. We maintain a current register of material AI use cases across the enterprise. `[0/1/2]`
2. Each material AI use case has a named executive owner. `[0/1/2]`

## 2) Risk and Controls
3. AI use cases are classified by risk tier using a documented method. `[0/1/2]`
4. Pre-deployment controls exist for high-risk use cases (testing, approvals, documentation). `[0/1/2]`
5. Post-deployment monitoring exists for drift, bias, performance, and incident triggers. `[0/1/2]`

## 3) Governance and Reporting
6. Committee accountability is clear (board, risk, audit, technology, management). `[0/1/2]`
7. Board receives recurring AI governance reports with metrics, incidents, and trend lines. `[0/1/2]`
8. Escalation thresholds are defined for when AI issues must be reported to board level. `[0/1/2]`

## 4) Regulatory and Disclosure Preparedness
9. We can evidence compliance posture for relevant obligations (privacy, sector regulation, disclosure). `[0/1/2]`
10. We have a board-ready disclosure protocol for material AI incidents and performance claims. `[0/1/2]`

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## Total Score
- Maximum: 20
- Your score: `__ / 20`

Interpretation:
- `0-7` High exposure: urgent governance uplift required
- `8-14` Moderate exposure: controls exist but unevenly embedded
- `15-20` Strong foundation: move to optimization and assurance depth

## Priority Actions (next 90 days)
1. `________________________________________`
2. `________________________________________`
3. `________________________________________`