AI Readiness & Agent Governance Checklist

Before you fund another AI pilot, use this checklist to find the gaps that usually turn promising demos into stalled projects.

This is for leadership teams under pressure to “do something with AI” who need a practical way to choose use cases, assign owners, protect data, and define human review before tools spread faster than governance.

The pilot graveyard pattern

Most AI initiatives do not fail because the model is weak. They fail because no one made the operating decisions early enough: who owns the workflow, what data is allowed, when a human reviews the output, how success is measured, and what happens when the tool is wrong.

The executive checklist

1. Business outcome

• What business decision, cycle time, revenue motion, risk, or cost problem does this improve?
• Who owns the outcome?
• What will make this worth continuing after 30, 60, and 90 days?

2. Use-case priority

• Rank each use case by business value, urgency, repeatability, data readiness, integration complexity, and review requirements.
• Choose one or two workflows with clear owners before launching a broad experiment.
• Separate “interesting demo” from “operationally useful.”

3. Data and access boundaries

• What data can the system read, write, summarize, or send?
• Which data is prohibited: customer secrets, regulated data, financials, HR, legal, credentials, or unreleased strategy?
• How will access be logged and reviewed?

4. Human review and failure modes

• Where must a human approve before action is taken?
• What errors would be expensive, embarrassing, unsafe, or hard to reverse?
• Who handles exceptions when the AI is uncertain or wrong?

5. Governance and policy fit

• Do current AI usage rules cover this workflow?
• Are legal, security, compliance, and business owners aligned on what is allowed?
• Is there a review cadence for prompts, outputs, vendors, and data flows?

6. Measurement

• What leading indicators will prove adoption?
• What business metric will prove value?
• What conversion, workflow, or quality event should be tracked from day one?

When to use this

• Before buying another AI tool.
• Before giving agents access to business systems.
• Before rolling Copilot or chat tools into sensitive workflows.
• Before asking teams to “find AI use cases” without a decision framework.

Want this turned into a 90-day AI action plan?

The AI Readiness + Governance Sprint turns this checklist into a practical decision path: prioritized use cases, readiness findings, governance gaps, first-pilot recommendations, and an executive memo your team can act on.