Our project managers are starting to use AI to generate client facing reports and technical deliverables. How do we write a policy that clearly defines who owns the final output and how the employee must verify its accuracy before it goes to the client?

Question

Tyler Smith · Accepted Answer

Your AI policy must make one thing absolutely clear: the human who owns the seat on the Accountability Chart is one hundred percent responsible for the accuracy of every deliverable, regardless of how it was generated. AI is merely an assistant, not a substitute for professional judgment.

To operationalize this, establish a clear verification step in your documented core processes. Any deliverable created with the help of AI must undergo a human verification process. The team member must sign off that they have personally checked every fact, link, and calculation.

Your policy should also state that raw AI output cannot be delivered directly to a client without human editing. The content must be refined to match your company brand and quality standards. If a client discovers an AI error in a report, blaming the software is a quick way to lose the account. By enforcing a strict verification rule, you protect your reputation while allowing your team to use AI to speed up the drafting phase. Ensure your team understands that using AI to create a draft is acceptable, but submitting unverified work is a performance issue. This keeps the accountability exactly where it belongs, with the human owner of the seat.