Private by design
Generation, editing, copying, and downloads happen in your browser. The tool does not call an AI model or transmit policy inputs.
An AI policy template defines how an organization may use AI, what data and tools are allowed, and where human review is required. Use this free generator to create an editable acceptable-use policy without sending your answers to a server.
Private by design
Generation, editing, copying, and downloads happen in your browser. The tool does not call an AI model or transmit policy inputs.
Practical AI intelligence
Follow useful, positive AI developments for operators and teams.
Visit AI WinsSafe defaults are selected. Customize the policy for your organization.
Before generating:
Editable output
Customize this starter template with qualified legal, privacy, security, HR, and industry reviewers. It is not legal advice or a compliance guarantee.
Your policy will appear here
Complete the required fields or load the example, then generate a private, editable policy.
How it works
Enter the organization, policy owner, audience, and effective date.
Define approved AI tools, use cases, and data-handling boundaries.
Choose human-review, disclosure, incident, and review-cadence rules.
Generate the policy, edit it for the organization, and send it for expert review.
Frequently asked questions
An AI policy template is a starting document that defines approved AI tools and uses, data-handling rules, human review, disclosure, prohibited uses, incident reporting, and accountability for an organization.
Include scope, approved tools, acceptable use cases, confidential-data rules, human review, disclosure, prohibited activities, security controls, incident reporting, exceptions, ownership, and a regular review schedule.
Only when the organization has approved the tool, account, use case, data category, privacy settings, access controls, retention rules, and any required legal or security review. Public consumer tools should be treated as unapproved unless policy says otherwise.
No. It creates a practical operating template, not legal advice or a compliance guarantee. Qualified legal, privacy, security, HR, and industry specialists should review the final policy.
Review it at least annually and more often when tools, regulations, data practices, business risks, or incidents change. Fast-moving teams often use a quarterly review.