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Shadow AI
Managing Shadow AI in Small Teams
Shadow AI — employees using AI tools without IT or leadership approval — is now the default, not the exception. Here's how to detect it, address it without heavy-handed policy, and turn it into a governance opportunity.
Frequently Asked Questions
- How do I find out what AI tools my team is using?
- The fastest method: a short anonymous survey asking 'What AI tools do you use in your day-to-day work?' Most employees will be honest, especially if framed as learning rather than policing.
- Should I ban tools that weren't approved?
- In most cases, no. Banning creates workarounds and resentment. Instead, create a fast-track approval process and default allowlist of common safe tools.
- What's the main risk from shadow AI?
- Data exposure — employees pasting sensitive client data, code, or PII into consumer AI tools that may use that data for model training or are not covered by your DPA.
- How do other small teams handle this?
- The most common approach is a lightweight AI register: a shared spreadsheet where team members log tools they use, what data they feed in, and who approved it. Simple and auditable.