BlogGovernance
Governance4 min read· July 11, 2026

An AI Policy Template Startups Can Actually Use

Carolina Fogliato

Published July 11, 2026

Most AI policies are theater. Here's a template that's short enough to read and specific enough to enforce.

Most AI policies are theater — long enough to look serious, vague enough to mean nothing. A useful policy is short, specific, and enforceable. Here's the template.

An AI policy that nobody reads or enforces is worse than no policy — it creates the appearance of governance without the substance. The template below is the minimum a startup needs to actually govern its AI use.

The Conduct Rule: Specific and Enforceable

A policy is a law of conduct — and a law that can't be enforced isn't a law. The policy has to name what's allowed, what's not, who's responsible, and what happens when it's violated. Vague principles don't govern; specific rules do.

  • What's allowed, in plain language.
  • What's not allowed, with reasons.
  • Who owns the policy and the violations.
  • What happens when the policy is violated.

The Template, Section by Section

  • **Scope.** Which AI tools and uses the policy covers.
  • **Allowed uses.** The cases that don't need review.
  • **Restricted uses.** The cases that need review, and by whom.
  • **Prohibited uses.** The cases that are never allowed.
  • **Data handling.** What may and may not go into AI tools.
  • **Ownership.** Who owns the policy, the review process, and the violations.
  • **Review cadence.** When the policy is revisited.

Process: Keep It Short

A one-page policy that's read and enforced beats a twenty-page policy that isn't. The process discipline is to keep the policy short enough that every new hire reads it on day one — and specific enough that a violation is unambiguous.

What to Refuse

  • A policy longer than a page that nobody reads.
  • Principles without rules ("we use AI responsibly" is not a policy).
  • A policy with no owner.
  • A policy that's never reviewed.

Conclusion

A useful AI policy is short, specific, and enforceable — scope, allowed, restricted, prohibited, data handling, ownership, cadence. The policy that's read and enforced governs; the policy that isn't is theater.

About FACTA

FACTA helps startups and growth-stage teams turn AI into production systems that keep running — not demos that impress once.

We design the architecture around the parts that actually break under real usage: tooling you own, credentials you control, failover, cost controls, observability. The boring infrastructure that keeps a system alive after launch.

Led by Matías Baglieri and Carolina Fogliato, we focus on one thing:

AI leadership that builds. Not just advises.

Ask us for the one-page template.

We'll help you fill it in for your startup. See AI governance for startups for the frame around it.

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