We want our account managers to use AI for internal efficiency, but we are terrified an unvetted model will hallucinate commitments or send confidential financials to a client. How do we establish a clear policy that governs AI draft approvals versus direct automation?

Question

Tyler Smith · Accepted Answer

You prevent unauthorized automation and data leaks by establishing a strict operational boundary between internal drafting and external communication. Your AI policy should not be a thirty-page document written by corporate attorneys. It needs to be a straightforward set of operational guardrails that every employee understands and signs.

Establish two explicit rules in your company policy:

- Rule 1: No direct autonomous output to clients. AI tools are strictly designated as internal drafting assistants. Every client deliverable, email, proposal, and contract revision generated with AI assistance must have a human in the loop. The employee in that seat is personally accountable for verifying every fact, number, and commitment before it leaves the building. Blaming an AI hallucination for an operational mistake is treated the same as negligence.

- Rule 2: Strict input restrictions. Prohibit employees from inputting unredacted client financial records, personally identifiable information, proprietary source code, or banking details into external public models. Require your team to use enterprise-licensed instances where company data is explicitly walled off from model training datasets.

Bring this policy directly into your quarterly Rocks and departmental Level 10 Meetings. If someone discovers a repetitive workflow that could be fully automated from start to finish, that process must be brought to leadership during IDS to evaluate technical safeguards before anything is wired live. Freedom within a framework protects your reputation while letting your team move fast.