Approved tools and uses
Defines which AI services may be used and the business activities they can support.
Create your AI acceptable use policy
Answer a few practical questions and generate a clear, copy-ready policy for responsible AI use across your organization.
- ✓ 4 guided steps
- 📄 Short + full policy
- 🔒 Runs locally
- ⬇ Copy, print or download
Your AI policy draft is ready
Review every section, replace any remaining general language, and obtain professional approval before publishing or enforcing it.
Policy Coverage
What your AI policy includes
The generator combines practical workplace rules with clear ownership, review, and escalation responsibilities.
Data protection
Sets boundaries for confidential, personal, regulated, customer, and company information.
Human oversight
Keeps accountable people in control of important decisions and high-risk outputs.
Accuracy and disclosure
Requires verification and explains when customers or audiences should be told about AI assistance.
Incident response
Explains how people report unsafe output, data exposure, bias, security events, and other failures.
Training and review
Creates a repeatable cycle for employee training, acknowledgement, monitoring, and policy updates.
Not sure what your organization needs first?
Use the free AI Readiness Assessment to score strategy, people, data, technology, and governance before finalizing your policy.
FAQ
AI policy generator questions
An AI acceptable use policy explains how employees and contractors may use artificial intelligence at work. It defines approved tools, allowed and prohibited uses, data rules, human review, disclosure, security, and incident reporting.
The generator creates an educational starting draft, not legal advice. Whether a policy becomes binding depends on local law, contracts, communication, acknowledgement, and organizational procedures. Obtain qualified professional review.
No company or policy information is submitted to a server. The draft is generated locally in your browser. Only your color-theme preference may be stored on the device.
A practical policy should cover scope, approved tools, permitted use cases, prohibited activities, confidential and personal data, human oversight, accuracy checks, disclosure, intellectual property, vendor security, incidents, training, and regular review.
The right frequency depends on risk and regulatory context. Many organizations choose a six- or twelve-month cycle and also review the policy after material incidents, tool changes, new use cases, or legal developments.