AILD executive tool
AI Leadership Readiness Checklist
Use this checklist before scaling AI across functions. The goal is to assess whether leadership, governance, and operating discipline are ready for wider deployment.
Who this is for
- Strategy leaders
- Transformation owners
- Nontechnical executive teams
- Board and governance reviewers
How to score
- 1 = weak or unclear
- 3 = partial readiness
- 5 = strong and repeatable
Mark each dimension, then note the first leadership action required.
1. Executive readiness scorecard
Strategy and priorities
Do leaders agree on where AI creates value this quarter, and what should not be automated?
Decision rights
Is it clear which decisions AI can inform, which require approval, and who owns overrides?
Governance and controls
Are policy rules, escalation logic, and review checkpoints explicit for higher-risk use cases?
Operating cadence
Is there a weekly or monthly leadership rhythm for signals, decisions, follow-through, and calibration?
Measurement and evidence
Do teams track baseline time, quality, risk, and decision outcomes before claiming success?
Capability and trust
Do leaders and managers understand what AI is good at, where it fails, and when humans must step in?
| Dimension | Score (1-5) | Gap you see | First action |
|---|---|---|---|
| Strategy and priorities | |||
| Decision rights | |||
| Governance and controls | |||
| Operating cadence | |||
| Measurement and evidence | |||
| Capability and trust |
2. Board and executive review questions
- Where is AI creating measurable business value today?
- Which workflows still lack clear human accountability?
- What high-risk decisions require documented human approval?
- Which metrics would tell us adoption is improving decision quality, not just activity volume?
- What should the leadership team fix before expanding to another function?
3. First 90 days action plan
Days 1-30
- Choose one priority decision stream
- Capture baseline cycle time and quality
- Define trust and override rules
Days 31-60
- Run a controlled pilot with weekly reviews
- Log exceptions, overrides, and lessons
- Refine KPIs and escalation logic
Days 61-90
- Decide whether to expand, pause, or redesign
- Prepare a board or executive update
- Institutionalize the operating cadence
4. Good signals vs warning signals
Good signal Leaders can name the top use cases, owners, review points, and metrics. Warning signal AI activity is high, but no one can show decision quality, control posture, or business impact.