The Anatomy of a Practical AI Use Policy
About this resource
Most AI use policies contain the right sections and still fail to change behavior. The sections are present, correctly titled, and written in language that satisfies a legal review. What is missing is the thing each section was supposed to accomplish. This guide is an anatomy rather than a template: twelve components, what each one has to establish, and the specific weakness that makes each one inert.
Use it to audit a policy you already have, to check whether a draft covers what it needs to, or to know what to ask for when somebody else is writing it. It includes five checks that tell you most of what you need to know about a policy in ten minutes, and a note on the order these components should be decided in, which is not the order they appear in the document. There is deliberately no sample language here, because policy wording that fits your organization comes from decisions your organization has made.
Each one carries the common weakness that makes it fail. Approved tools is the single most commonly missing component, and the one that most reliably produces unsanctioned use.
How to use it
If you are auditing rather than writing, start at the bottom of the list. A policy with no named owner, no review date, and no training commitment will not stay accurate however good the first nine components are. The five fast checks exist for the situation where you have been handed a document and ten minutes before the meeting where you are expected to have an opinion about it.
Inside the download
Twelve components with the weakness that makes each one inert, so you can find yours.
The most common single gap, and the one that most reliably produces shadow AI.
Why "human review required" with no definition becomes a signature within a month.
Why a policy listing only prohibitions paralyses your most conscientious staff.
Common questions
Twelve components: purpose and scope, approved and prohibited uses, approved tools and approval authority, data and confidentiality expectations, human review requirements, accuracy and verification expectations, bias and appropriate use, disclosure expectations, accountability, incident reporting and escalation, training responsibilities, and ownership with a review cadence.
Five checks. Search for a specific tool name; if none appears there is no approved list. Look for a category that is explicitly permitted, not just prohibitions. Find the word review and read whether the sentence says what reviewing involves. Look for a person or role named as owner, approver, or incident recipient. Check the date and version history.
Because a correctly titled section is not the same as a section that accomplishes something. "Employees may use AI responsibly" satisfies a boundaries section and transfers the entire judgment to the individual. "Check for accuracy" satisfies a verification section and tells nobody what to check. The structure passes review while the function is absent.
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More from the resource library, chosen because they pair well with this one.
A fill-in-the-blank template with ten sections, suggested language, an acknowledgment page, and a printable verification check.
Eight questions to answer before you write an AI use policy, plus the governance stack and the policy test.
Ten questions for directors approving something they cannot evaluate, with what a good answer sounds like and what should concern you.
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