Updated 2026-02-25
AI Data Privacy Checklist for SMB Teams
A practical data handling checklist to reduce privacy and compliance risk during AI adoption.
PrivacyRisk 8 min For Leadership, IT generalists, workflow owners
What You Will Get
- Establish enforceable data boundaries per workflow
- Reduce accidental sensitive-data exposure
- Implement monthly policy compliance sampling
Core principle
Translate privacy rules into workflow actions, not generic policy statements.
Required controls
- data classification in place
- restricted data blocked from public tools
- approved tool list enforced
- human review for high-risk outputs
- monthly random sampling audits
Workflow-level control template
For each workflow define:
- allowed input data
- prohibited input data
- review owner
- escalation path
Audit checks
Sample output sets monthly and verify:
- no prohibited data used
- review was completed
- incidents logged where needed