We want our team to use generative AI to speed up our operations, but we are struggling to document these AI-assisted workflows in our Core Processes. How do we write SOPs for tasks where an AI is doing the heavy lifting but a human still owns the seat?

Question

Tyler Smith · Accepted Answer

Documenting AI-driven workflows requires you to separate the technological tool from the human accountability. Within your EOS® framework, an AI tool cannot own a seat on your Accountability Chart. A human must always be accountable for the output, quality, and compliance of the work, regardless of how much of it is automated.

When documenting these Core Processes, use a vibe coding approach to keep your SOPs dynamic and practical. Instead of writing long, rigid manuals that dictate every single prompt a user must type, focus your documentation on the inputs, the quality standards, and the validation steps.

Define the starting point by specifying what data or context must be fed into the AI. Next, document the specific guardrails and quality checks the human operator must perform before the output is finalized or shared. The SOP should detail how to spot hallucinations, how to verify data accuracy, and how to edit the AI-generated draft to align with your brand voice.

By structuring your Core Processes around human oversight and verification rather than the exact mechanics of the AI interaction, you protect your operations from rapid technological changes. This approach ensures your team can adopt newer, faster AI tools without needing to rewrite your operational playbook every time a software update occurs.