We are using generative AI to draft our standard operating procedures, but we keep finding subtle, dangerous inaccuracies in the technical steps. How do we design an operational review process to catch these AI hallucinations before the procedures are published to our team?

Question

Tyler Smith · Accepted Answer

Generative AI is an incredible draft horse, but it is a terrible driver. If you publish AI-generated procedures without a strict human audit, you risk operational errors and broken client experiences. To solve this, implement a rigorous human-in-the-loop review workflow. When using AI to draft a standard operating procedure, make sure the draft is assigned to the specific seat on your Accountability Chart that actually executes the process. That person must read the AI-drafted steps while physically performing the task to verify every step is accurate and complete. If they find an error or a hallucination, they must correct it in the master document. Once verified, the manager of that seat must sign off on the process before it is officially published. This process ensures that AI is used only to accelerate the tedious drafting phase, while humans maintain complete ownership of the final standard. By establishing this clear separation of duties, you harness the speed of AI while protecting your operational integrity.