We suspect our account managers are using consumer-grade AI tools to write deliverables, potentially leaking our proprietary operational data and client intellectual property. How do we establish operational guardrails without killing our productivity gains?

Question

Tyler Smith · Accepted Answer

You cannot solve this problem by banning AI. If you try, your team will simply hide their usage, and you will lose all visibility into how your operations are actually running. You need to establish ethical AI by design and create a clear framework for safe usage. Start by defining clear ethical guidelines and operational boundaries. You must conduct an ethical impact assessment of how your team uses external LLMs. Ensure your team understands that uploading proprietary historical client data into public models violates your core values and risks your client trust. Next, use your Level 10 Meeting to run this issue through the IDS process. Identify which specific tasks your account managers are outsourcing to AI. If they are using these tools to summarize or draft, provide them with secure, enterprise-grade instances of OpenAI or similar platforms where data privacy is contractually guaranteed. Update your 3-Step Process to clearly document where AI is permitted in the workflow and where human validation is mandatory. By establishing these guardrails, you maintain your operational speed while securing your proprietary knowledge. This discipline protects your enterprise value and ensures you do not face compliance or legal issues that could ruin your clean exit.