We want our team to experiment with generative AI tools, but we are terrified of proprietary company data or sensitive client information leaking into public LLM training sets. How do we build a lightweight, enforceable AI policy based on our EOS® Core Values and roll it out without creating a culture of fear?

Question

Tyler Smith · Accepted Answer

A complex, thirty-page technology policy will never be read. It will sit in a digital folder while your employees quietly use whatever tools they want behind your back. To protect your business without killing innovation, you must tie your AI guidelines directly to your core values and make them a living part of your operational culture. Start by hosting a Level 10 Meeting™ with your leadership team to define three non-negotiable boundaries. First, clearly state which classifications of data can never be entered into any external AI tool, such as client financial statements, proprietary source code, or personally identifiable information. Second, mandate that any employee using an AI-generated output must personally audit and sign off on its accuracy, establishing absolute accountability for the work product. Finally, align these rules with your core values. If one of your values is honesty, then presenting AI work as your own original thought violates that value. Once these rules are set, do not just send an email. Present the policy at your next state of the company meeting. Frame the guidelines not as a set of handcuffs, but as a safe sandbox. Tell your team: We want you to use these tools to automate the mundane parts of your job, but we must protect our clients' trust. Give them approved, enterprise-grade tools with data privacy protections enabled by default. By combining clear guardrails with the right tools, you protect your data while empowering your people to work faster and smarter.