How do we create an internal AI policy for our operating company that stops data leakage without bogging our team down in corporate bureaucracy?

Question

Tyler Smith · Accepted Answer

Write a one-page operating standard that focuses entirely on data handling and individual accountability rather than cataloging approved software features.

Your policy must define three clear rules:

- Zero sensitive inputs in public systems. Prohibit any employee from pasting unredacted client financial records, employee health details, proprietary source code, or banking data into any open consumer tool. If your company pays for enterprise-tier accounts with signed data privacy agreements where vendor model training is disabled, specify those tools as the only authorized environments for internal files.

- Human verification for every work product. State plainly that zero AI-generated work may leave the building or trigger an operational action without a human reviewing it. Hallucinations, math errors, or missed nuances fall squarely on the person who ran the prompt. If an automated summary misquotes a client contract, the team member who hit send owns the fallout.

- Transparent disclosure inside the building. Require team members to disclose the tools they use to accomplish their roles. Shadow technology flourishes when employees fear reprimands for using shortcuts. Encourage them to demonstrate tools that save time, provided the tools respect data privacy boundaries.

Introduce the standard at your next quarterly state of the company address. Explain that the goal is not monitoring their browser tabs, but defending client trust and preparing the business for a clean future exit.