My employees are starting to use public AI tools like ChatGPT for their daily work, and I am worried about proprietary client data leaking. How do we draft a simple, practical AI policy that protects our business without killing our team's initiative?

Question

Tyler Smith · Accepted Answer

You do not need a twenty-page policy drafted by an expensive legal team to protect your business. A long, complex document will only cause your team to hide their AI usage, which creates a dangerous shadow IT environment. Instead, keep your AI policy simple, transparent, and focused on operational safety. Your policy should fit on a single page and cover three non-negotiable rules. First, establish a data-in, data-out rule. Employees must never paste proprietary company data, client financials, personally identifiable information, or trade secrets into free, public AI models. They must only use approved enterprise versions of these tools where the vendor guarantees data privacy and promises not to use your inputs to train public models. Second, enforce the pilot-in-the-loop rule. Every piece of work generated by an AI tool must be reviewed and verified by a human before it is sent to a client or used internally. The employee who holds the seat on the Accountability Chart remains fully accountable for the accuracy of that output. Third, maintain an open-registry list. Create a simple shared document where employees must list any AI tool they are using for their work. This maintains transparency and allows your Integrator to track which tools are actually driving efficiency across the organization, helping you build a unified tech stack rather than a fragmented one.