An AI usage policy for teams: writing the rules your staff already guess at

A total ban on AI tools fails silently, one paste at a time; a written policy holds because it tells people exactly where the line sits.

Ask a manager which AI tools their team actually uses and the honest answer is a guess. Watch what really happens and you will see contract clauses pasted into a chat to be simplified, client drafts summarized in seconds, internal figures checked inside a message written in a hurry. None of this is malicious. All of it, added up, is a shadow knowledge base: the company's most sensitive material, copied out to services the company never chose and cannot see.

The reflexive answer is a ban, and the ban fails in a predictable way. It gets announced, it settles into a shared folder, and work continues, because the tools genuinely help and the work genuinely exists. So people keep pasting, quietly, with the policy officially in force and practically ignored. A rule nobody can follow is not a control; it is a written record that the company decided not to look.

A written policy works because it does the one thing a ban does not: it tells people where the line sits. Name what may be pasted. Name what never leaves the company. Name what gets redacted first when something must be shared anyway. Name which tools are approved, and who answers questions when a case is unclear. Then add one plain sentence about visibility: whether the company can see what employees do with these tools.

Keep it to a page and fit it to how work actually happens, or it will be printed and bypassed in equal measure. Revisit it whenever the tool set changes, which in this area is often. Walk the team through it once, in person, with examples drawn from their own day, and give the questions a named address, so ambiguity has somewhere to go instead of somewhere to hide.

The visibility sentence matters more than it looks. If usage is visible to the company, say so plainly; monitoring discovered later costs more trust than early disclosure ever would. We hold ourselves to the same standard: we run AI inside our own operation, we tell customers openly that it is AI, and we would not write a policy for a client that we would not accept being governed by ourselves.

We help businesses write policies that match their real workflows, and we are direct about where our role ends. The legal review, the data protection obligations, and the terms of any specific tool belong to counsel and to the provider's own documentation, and we route them there. Guidance, not guarantees: the policy sets expectations inside your walls; it does not replace the contracts and the law outside them.