We want to train a custom AI model on our internal knowledge base, including years of team meeting transcripts and strategy PDFs, to help us make better operational decisions. How do we prepare and organize this unstructured data first without wasting weeks of manual work?

Question

Tyler Smith · Accepted Answer

Before you connect any AI tool to your company's unstructured data, you must realize that artificial intelligence is a magnifying glass. If you feed it chaos, it will only generate chaotic recommendations at a faster rate. To fix this, do not attempt to clean every document at once. Instead, identify a specific department or core process within your EOS® Process Component that you want to optimize first. Have the person who owns that seat on the Accountability Chart identify the most critical and up to date documents, such as your current V/TO®, core process PDFs, and recent Level 10 Meeting™ archives. Move these verified files into a single, secure folder. This acts as your source of truth. Any outdated strategy documents or conflicting guidelines must be archived and kept out of reach of your AI tool. Once you have this curated, clean subset of information, you can safely connect your AI model. This disciplined approach ensures your AI initiatives yield highly accurate, actionable operational insights rather than expensive, confusing hallucinations that frustrate your leadership team.