Our staff is starting to use artificial intelligence tools on their own, and we do not want to restrict them with a massive, fifty-page legal document that nobody reads. How do we write a simple, one-page AI safety policy that actually protects our operations without killing our team's productivity?

Question

Tyler Smith · Accepted Answer

To keep your operations secure without drowning your team in red tape, you do not need a complex legal contract. You need a practical, one-page guide that sets clear operational guardrails. Focus your policy on data input safety and human output verification.

First, establish a hard rule about data entry. Your policy must state that no proprietary financial data, client intellectual property, or personally identifiable information can ever be pasted into free, public models. If your team needs to process sensitive data, provide them with secure, enterprise-grade accounts that do not use inputs for model training.

Second, address the output side with a verification rule. Every piece of work generated by a tool must be reviewed by a human before it is sent to a client or used to make an operational decision. The employee who ran the tool remains fully accountable for the accuracy of the final work product.

On your Accountability Chart, make sure your Integrator or operations leader owns the tracking of these tools. Keep a simple registry of which software is approved for use. When a team member wants to try a new tool, they must submit it to this owner for a quick security check. By keeping the policy brief and focused on raw data safety and personal accountability, you protect your company assets while encouraging your team to innovate.