Do we need a policy if we're only using basic AI features?
Do we need a policy if we're only using basic AI features?
Yes. Even basic AI use involves data handling, decision-making, and quality concerns. A lightweight policy takes an afternoon to create and prevents expensive problems later.
How do we balance innovation with risk management?
How do we balance innovation with risk management?
Create “innovation zones” where teams can experiment with AI under controlled conditions. Allow approved uses freely, require approval for moderate-risk uses, and prohibit high-risk uses. Review the boundaries quarterly as you learn.
What if our team is already using AI without policy?
What if our team is already using AI without policy?
Don’t panic. Conduct a quick audit to understand current usage. Grandfather in appropriate existing uses while setting boundaries for future adoption. Focus on education rather than punishment.
How detailed should our policy be?
How detailed should our policy be?
Detailed enough to guide decisions, brief enough that people read it. Aim for 3-5 pages of core policy plus specific guidelines for high-risk use cases. If it’s more than 10 pages, it’s too long.
Should we ban AI tools we can't control?
Should we ban AI tools we can't control?
Banning tools without providing alternatives drives use underground. Instead, approve enterprise tools with proper controls and explain why personal AI accounts aren’t suitable for work use.
How do we keep policy current when AI changes so fast?
How do we keep policy current when AI changes so fast?
Focus on principles rather than specific tools. Review quarterly but don’t chase every new feature. Major updates once or twice a year are sufficient for most organisations.