We already have a basic technology policy, but our employees are starting to use consumer AI tools for everyday tasks on their own. How do we establish a practical AI policy that encourages efficiency without risking our operational control?

Question

Tyler Smith · Accepted Answer

A useful AI policy is not a theoretical document written by lawyers to sit in a drawer. It must be a practical set of guardrails that your team actually understands and follows during their daily work. Start by defining what data can never be entered into any public AI model, such as client financials, proprietary code, employee medical information, or custom operational processes.

Next, establish a clear rule that no AI generated content or analysis can leave your organization without direct human validation. If an employee uses AI to draft a contract, analyze a spreadsheet, or write a customer email, that employee remains fully responsible for any errors or hallucinations in the final product. You must also create an approved software list in your company. If a team member wants to use a new AI tool, they must submit it to your Integrator or designated technology lead for approval. This keeps your technology stack clean and prevents shadow IT from creating security vulnerabilities.

Finally, frame the policy as an enablement tool. Tell your team that you want them to automate the boring parts of their jobs, but they must do so within these boundaries. This approach keeps your company safe while giving your team the freedom to innovate safely.