AI use policy that leadership can actually enforce

Your team is already pasting work into ChatGPT and whatever ships inside Office or Google. Pretending otherwise is not a strategy.

An AI use policy (sometimes called an AI acceptable use policy or AI governance policy) is the written rule set for that reality: which tools are allowed, what data never goes in, who approves new tools, and what happens when something goes wrong.

Boards, insurers, and customers are starting to ask for that document. So are thoughtful CEOs who do not want a leaky prompt to become next quarter's incident.

What a useful policy covers

Skip the 40-page philosophy essay. Cover the decisions people face on a Tuesday:

1. Purpose and scope. Who the policy applies to (staff, contractors, vendors acting on your behalf).
2. Approved tools. Named list, plus how a new tool gets approved.
3. Data rules. What is banned in public models (customer data, credentials, unpublished financials, health data, and so on).
4. Human review. Where AI output cannot be used without a person checking it.
5. Prohibited uses. Hard lines: fraud, discrimination shortcuts, bypassing security controls.
6. Incidents. How to report a bad paste or a suspected leak.
7. Training and review. When people get trained, and when the policy gets revisited.

If you want a deeper security operating rhythm beyond the document, that is where vCISO services connect. The policy is often the first visible deliverable. It should not be the only one if your real gap is an empty security seat.

Templates are a start, not the finish

There are plenty of free AI use policy templates online. Use them to avoid blank-page syndrome. Then customize:

• Your approved tool list (not someone else's)
• Your data classes
• Your industry constraints (HIPAA, customer contracts, nonprofit donor data)
• Who owns the policy (IT, legal, ops, or a shared RACI)

A downloaded PDF that nobody trained on is theater. A short policy people can recite in one minute is better.

Nonprofit and association angle (brief)

Mission-driven orgs feel this quickly. Staff experiment with generative tools while boards ask about risk. A clear AI use policy is often the cheapest way to show control before anyone funds a bigger program. Treat it as governance, not as a reason to buy ten new AI products.

How this becomes a Bade Group engagement

Two clean paths:

Path 1: Policy review / build (fixed scope). We help you produce an enforceable AI use policy, vetting checklist, and a light rollout plan. Useful when the document is the blocker.

Path 2: Retainer. If questionnaires, vendors, and security ownership are already on fire, fold AI governance into a vCISO or fractional CIO retainer so the policy has an owner next quarter too.

We do not sell "AI consulting" as a vague transformation package. We sell written rules and named ownership.