Every company now needs a clear line on how staff may use AI tools, but starting from a blank page is slow and easy to get wrong. This company AI use policy generator asks a few questions about your size, industry, risk tolerance, and approved tools, then assembles a structured acceptable-use policy covering the sections that matter: scope, approved tools, data handling, human oversight, disclosure, prohibited uses, and escalation.
How it works
Your answers drive the content, not just the cover page. Industry selection pulls in the right tone and constraints — a healthcare, finance, or legal organisation gets stricter data-classification and confidentiality clauses than a marketing agency. Risk tolerance tunes the approval model: a low-tolerance setting adds gating, mandatory human review of AI output, and a narrow allow-list, while a high-tolerance setting permits broader experimentation with lighter controls. Company size adjusts the governance language, scaling from a lightweight team agreement to a formal policy with named owners and review cadence. The result is rendered as clean Markdown you can copy straight into your document system.
Generation happens entirely in the browser. Nothing you select about your company is uploaded or stored, so you can draft sensitive governance text safely.
Tips and examples
Treat the output as a strong first draft, not a finished artefact. Drop in your real escalation contacts, your data-classification scheme if you already have one, and a review date — AI tooling moves fast, so a quarterly or biannual review keeps the policy honest. Then route it through legal or HR for sign-off before circulating, because contractual and regulatory obligations vary by company and jurisdiction.
The data-handling section deserves the most attention. The single most common real-world incident is staff pasting confidential customer or source data into an external AI tool. Make that boundary concrete with examples your team will actually recognise — customer records, unreleased financials, source code, personal data — rather than abstract categories.