Most AI policies cover what employees may paste into a tool and stop there. This template also covers what comes out: who checks it, how, and who answers for it. Copy the text below and replace the bracketed parts.
Plain text, ready to paste into your policy system.
1. Purpose This policy sets how [Company] employees and contractors use AI tools for work. 2. Scope All AI assistants, chatbots, code assistants and AI features inside other software, whether paid or free. 3. Approved tools Only tools on the approved list [link] may be used for work. To request a new tool, submit it to [owner] for review. 4. Data rules - Never enter: customer personal data, credentials, API keys, unreleased financials, or anything classified Confidential or above. - Allowed with approved tools only: Internal data, after removing names and identifiers. - Public data: no restriction. 5. Human accountability The person who sends or publishes AI-assisted work is responsible for it. "The AI said so" is not a defence. 6. Verification of output Before AI output is used in a client deliverable, contract, legal, financial, medical or security decision: - Check facts, figures, names and citations against a primary source. - For high-stakes answers, compare the answer across at least two independent AI models and investigate any disagreement. - Record who reviewed it. 7. Prohibited uses Deceiving customers, generating content that impersonates a person, automated decisions about individuals without human review, bypassing security controls. 8. Incidents Report suspected data exposure or harmful output to [security contact] within [24] hours. 9. Review This policy is reviewed every [6] months by [owner].
A rule like "verify important output" fails when it is slow. Comparing one question across several AI models takes seconds and shows where they disagree, which is where a person should look first. It is a triage step. It does not prove an answer correct, and models can share the same blind spot, so the primary-source check in section 6 stays.
Satcove runs one question through 6 AI models and shows where they agree and disagree. You can use it as the comparison step in the policy above.
What is an AI acceptable use policy?
A short internal document that says which AI tools employees may use, what data may go into them, who reviews the output, and what is forbidden. It sits next to your security and data-protection policies rather than replacing them.
Is this template legal advice?
No. It is a starting point. Have legal and security review it against your sector, your contracts and the rules that apply where you operate before you adopt it.
Why include a verification step for AI output?
Policies usually cover what goes in to a tool and say little about what comes out. AI answers can be wrong while sounding certain, and one model will not flag its own mistake. A rule that important output is checked, by a person and by comparing more than one model, closes that gap.
Does comparing several AI models replace human review?
No. Disagreement between models is a signal about where to look first. It does not prove an answer right, and agreement between models can still be wrong. A named person stays accountable for anything that leaves the company.
Verify with 6 AIs before it goes out
Check an AI answer across 6 models — freeSatcove — A product by Abyssal Group