We want to leverage AI to convert our raw operational notes into clean procedures, but we worry our team will lose the underlying context of their seats. How do we use AI to build standard operating procedures while ensuring our people still truly GWC their roles?

Question

Tyler Smith · Accepted Answer

Using AI to accelerate standard operating procedure documentation is incredibly powerful, but you must prevent your team from losing ownership of their seats. The core risk of AI-generated processes is that employees will agree to documents they do not actually understand or execute. To prevent this, ground the documentation process in the concept of GWC, meaning your people must Get, Want, and have the Capacity to do the job. Start by having the seat holder record themselves performing the process while explaining their decisions out loud. Feed this raw audio into an AI tool and instruct it to draft the standard operating procedure based strictly on that recording. This ensures the document reflects real, practical execution rather than generic internet templates. Once the AI generates the draft, the seat holder must review, refine, and sign off on it. They cannot simply copy and paste the output. By actively participating in the refining process, the employee demonstrates that they truly understand and want the responsibility. This maintains high accountability across your Accountability Chart, ensuring your documented core processes remain active, highly practical tools rather than static documents that team members ignore.