How do we draft a simple, one-page AI usage policy that tells our staff exactly which business data can be processed through commercial models without slowing down their daily momentum?

Question

Tyler Smith · Accepted Answer

A functional AI policy should fit on one page and focus strictly on operational boundaries, not corporate legalese. The goal is to give your team clear guardrails so they stop guessing what is safe and start eliminating low-value friction.

Structure your policy around three explicit data classifications:

- Green Tier: Public-facing materials, generic process drafts, marketing copy, and anonymized operational text. Staff can run these through enterprise-tier tools like ChatGPT Team, Claude, or Copilot without special approval.
- Yellow Tier: Internal operational metrics, anonymized customer support logs, and vendor agreements. These may only be processed inside company-managed enterprise workspaces with training opt-outs verified by leadership. Never on personal employee logins.
- Red Tier: Client proprietary data, personally identifiable information (PII), employee health or payroll records, and intellectual property core to your enterprise value. Zero Red Tier data ever enters an LLM prompt under any circumstance.

State plainly that the employee whose seat owns the task is 100 percent accountable for the final output. AI does not get a seat on your Accountability Chart. If a model generates incorrect data or a broken assumption and an employee passes it forward to a customer or a peer, the employee owns the failure.

Post this one-pager in your company document repository, review it once in an all-hands meeting, and have your Integrator enforce it during weekly Level 10 Meeting spot-checks. Simplicity creates compliance.