Everyone Wants to Turn On AI, But Their Foundation Is Not Ready
Before enabling the next copilot, assistant, or AI agent, answer a few questions to see whether your organization should enable it, pilot it, restrict it, or decline it for now.
Start the AI Feature Readiness AssessmentI am seeing the same pattern in conversations with enterprise customers, CIOs, VPs of engineering, and platform teams: everyone wants to turn on AI.
The pressure is coming from everywhere:
- Vendors are embedding copilots and agents into tools companies already use.
- Employees are asking for AI features.
- Business leaders want productivity gains.
- Boards want to know the AI strategy.
But underneath the excitement, I keep seeing the same problem. Many organizations want to turn on AI before their foundation is ready.
So before you enable the next AI feature across your company, run it through this quick assessment. Pick one AI feature you are evaluating and answer the questions below.
AI Feature Readiness Assessment
Decide whether to enable, pilot, restrict, or decline the feature.
Pick one AI feature you are evaluating. The assessment will ask about data access, permissions, actions, vendor clarity, administrative control, ownership, success metrics, and rollback.
Why This Matters
What data can the AI feature access?
What actions can it take inside business systems?
Who owns the feature internally?
Can the organization monitor, audit, and roll it back?
Related Frameworks
If your team is still defining the broader control surface, start with what an AI governance layer is.
If the feature includes agents or workflow automation, pair this assessment with the agent safety framework.
For a broader rollout review, use the AI governance checklist after completing this feature-level assessment.
