We want to deploy an internal AI assistant to help employees execute our Core Processes, but our standard operating procedures are scattered across outdated documents and conflicting spreadsheets. What data hygiene steps must we take before connecting AI to our operational documentation?

Question

Tyler Smith · Accepted Answer

Connecting an AI model to fragmented, outdated documentation does not create an intelligent assistant. It creates an automated engine for spreading bad operational advice. Before you pay for a single software license or API token, you must clean your house using the EOS 20/80 Rule.

Most companies do not have a documentation problem; they have an editing problem. Follow this three-step data hygiene sprint:

First, conduct an inventory of your Core Processes. Open your V/TO and identify the documented processes that drive lead generation, sales, operations, customer service, and accounting. If a document does not belong to one of those core functions, quarantine it. Do not let AI read obsolete folders from three years ago.

Second, apply the 20/80 Rule. Document only the 20 percent of steps that produce 80 percent of the operational results. Consolidate every process into a single, standardized plain text file. Remove conversational fluff, outdated employee names, and conflicting instructions. Strip out dead web links and legacy pricing charts. Every process document must specify the accountable seat on the Accountability Chart responsible for keeping it updated.

Third, run a human validation pass. Have the person currently sitting in that seat execute the written SOP line by line to verify it matches current operating reality.

Only when a Core Process is lean, accurate, and signed off by the seat owner should you ingest it into a vector database or retrieval tool. AI cannot fix sloppy thinking. High-grade operational data produces high-grade automated execution.