When documenting our Core Processes under the EOS 20/80 rule, how do we structure the documented steps so our operations team can reliably automate them using generative AI tools?

Question

Tyler Smith · Accepted Answer

The EOS 20/80 rule dictates that you document the high-level twenty percent of your core process steps that produce eighty percent of the repeatable results. This prevents your process documentation from becoming an unreadable, hundred-page manual. When you integrate artificial intelligence into your operations, this twenty-percent framework becomes the exact prompt foundation your team needs.

To document Core Processes so that AI tools can execute repetitive operational tasks, follow a three-part structure for each step:
- Inputs: The exact source data, document types, or client communications required before the step begins.
- Logic and Guardrails: The decision rules, brand standards, and compliance boundaries that govern execution.
- Outputs: The precise deliverable expected, such as a drafted client proposal, categorized financial ledger, or formatted customer support response.

Once a Core Process is mapped at this level, your operations team can feed the inputs and logic into modern AI workflows. AI handles the raw drafting, data extraction, or initial analysis, while your human team members step in at the final quality checkpoint to verify accuracy.

Do not attempt to automate a broken or undocumented process with AI. Automating chaos only creates faster chaos. By locking down your Core Processes using pure EOS principles first, you create clean operational architecture. Then, you use quarterly Rocks to systematically deploy AI tools against those documented workflows, driving down labor overhead and increasing your company gross margins.