An AI policy your team will actually follow.
Personal habits don’t scale on their own; a business needs a shared, simple policy so safe AI use is the default. This lesson helps you pick safe tools, write a one-page policy people will actually follow (AI can help draft it), classify your data, and train your team — enabling AI, not banning it.
The mental model
A business needs rules everyone follows: which tools are approved, what’s allowed, what data is off-limits, and a team that actually knows.
Personal habits don’t scale on their own — a business needs a shared, simple policy so safe AI use is the default, not a matter of each person’s judgment. The goal isn’t to lock AI down; it’s to make the safe path the easy path.
Enable, don’t just forbid. A policy that only says “no” drives people to use AI in secret. A good one says “yes — here’s how, with these tools, and these limits.”
Step 01 Pick safe tools
Choose the AI tools your team is allowed to use for work, based on real protections:
- Business/enterprise tiers with data protections, not consumer accounts for work data.
- No-training guarantees on your inputs.
- Admin controls so you can manage access and settings centrally.
Step 02 Write the policy
Keep it one page and concrete. AI can help you draft it — that’s itself a smart use of AI for security:
Step 03 Classify your data
Different data needs different rules. A simple set of tiers makes the policy usable:
Four data classes
- Public — fine to use freely.
- Internal — okay in approved tools only.
- Confidential — approved tools, with care; often anonymize first.
- Regulated/secret — never, unless specifically cleared.
Step 04 Train your team
A policy nobody has read is decoration. Walk the team through it with real examples (“here’s a safe summary request, here’s an unsafe one”), make it easy to find, and revisit it as tools change.
Your challenge: draft your AI policy
Create a usable policy for your business:
- Choose your approved tools based on real data protections.
- Draft a one-page policy (use the prompt) and edit it to fit.
- Define your four data classes and the rule for each.
- Plan how you’ll train the team and where the policy lives.
That’s safe AI use that scales past you. Next, flip the script entirely — use AI as a defensive security ally — that’s Lesson 3.
What you can do now
- Choose AI tools based on real data protections
- Draft a practical one-page AI policy (with AI’s help)
- Classify data into tiers with clear rules
- Train a team so the policy is actually followed
- Enable safe use instead of driving shadow AI underground