AI Policy for Startups: A No-Jargon Starter Guide

Most startups adopt AI tools fast, write the policy never, and discover the risk when a customer asks a security questionnaire question or a regulator comes knocking. The good news: for a seed or Series A company, a credible AI policy takes less time to write than it takes to argue about whether you need one.

What 'enough' looks like for an early-stage company

A one-page policy that says: which AI tools are approved and at what tier, what data employees must not put into those tools, that any AI-generated content going to customers needs a human review, and who owns AI governance questions. That's it. Save the comprehensive AI risk register for when you're past 50 people.

The real risk at the startup stage

It's shadow AI. Your engineers will use GitHub Copilot (probably fine on the paid tier), your marketing person will run campaigns through Claude (probably fine on the Pro tier), and someone in finance will paste a spreadsheet into the free version of Gemini (potentially not fine). One line in your policy about approved tiers prevents most of that.

When customers ask

B2B customers increasingly include AI governance questions in security reviews and vendor questionnaires. A written policy is your answer. Without one, the honest reply is 'we don't have one', which loses deals with security-conscious buyers.

Generate one now

Greenlightly's free policy generator builds a startup-appropriate AI policy from your answers in about two minutes. After you generate it, send it to your team for acknowledgement so you have a record.