An AI usage policy helps teams use AI tools confidently without guessing what is allowed. A good policy should be short, practical, and written in plain language.
Quick Answer
Create an AI usage policy by listing approved tools, defining allowed and restricted data, setting review requirements, assigning ownership, adding examples, and reviewing the policy regularly.
Key Takeaways
- Keep the first policy simple enough for people to follow.
- Define approved tools and restricted data clearly.
- Use risk levels for different workflows.
- Add examples so the policy feels practical.
- Review the policy as tools and usage change.
Step 1: List Approved Tools
Start with a simple approved tools list:
- Tool name
- Approved use cases
- Owner
- Data allowed
- Review date
If a tool is not approved, employees should know who to ask before using it.
Step 2: Define Data Rules
Separate data into clear categories:
- Public information
- Internal documents
- Customer data
- Source code
- Financial data
- Legal or HR information
- Sensitive personal data
State which categories are allowed in which tools.
Step 3: Define Risk Levels
Use simple categories:
| Risk Level | Example Use | Rule |
|---|---|---|
| Low | Brainstorming public blog ideas | Allowed in approved tools |
| Medium | Summarizing internal notes | Use business-approved tools |
| High | Legal, HR, financial, or customer-impacting output | Requires review and approval |
Risk levels help teams move faster without treating every use case the same.
Step 4: Set Review Requirements
Define when human review is required:
- Customer-facing content
- Financial analysis
- Legal or policy text
- Hiring or HR material
- Code changes
- Medical or safety-related information
AI can draft, but humans remain accountable.
Step 5: Add Examples
Policies work better with examples.
Allowed:
- Drafting a public blog outline
- Summarizing a non-sensitive meeting note
- Rewriting a marketing email
Not allowed:
- Uploading customer records into unapproved tools
- Asking AI to make hiring decisions
- Publishing AI-generated claims without fact checking
Step 6: Assign Ownership
Define who owns:
- Tool approval
- Training
- Policy updates
- Vendor review
- Security questions
- Incident handling
Without ownership, policies become stale.
Related AI Charcha Reading
- AI Governance Operating Model
- How to Evaluate AI Tool Privacy Before Your Team Uses It
- How to Pilot AI Tools With a Team
FAQ
What should an AI usage policy include?
An AI usage policy should define approved tools, allowed data, restricted data, review requirements, ownership, risk levels, and examples of acceptable and unacceptable use.
How often should an AI policy be reviewed?
Review the policy at least quarterly or whenever the team adopts new AI tools, handles new data types, or changes workflows.
Bottom Line
An AI policy should help people make better decisions, not scare them away from useful tools. Keep it simple, specific, and updated.