Tacit Knowledge Guide

From Mind to Machine: A Guide to Tacit Knowledge Harvesting

Institutionalizing Your Expertise: How to Codify Wisdom for the GenAI Era

Standard manuals tell you what to do. Experience tells you why to do it (the context).

This "unwritten wisdom" is called Tacit Knowledge.

Until now, this knowledge lived only in the minds of your most senior experts. Our ExpertHarvest AI Hub allows you to extract this high-value IP and transform it into a structured "ExperienceBase" used to train proprietary Small Language Models (SLMs) that think, reason, and solve issues like your best people.

The 3-Minute Harvesting Process

Step 1: Set the Context Scene

Identify the specific domain (e.g., "Offshore Rig Troubleshooting"). Tell the app who the "student" is — a junior engineer or a peer expert. This ensures the output is at the right subject matter depth.

Step 2: Map the Logic (The Visualization Phase)

List the high-level steps of your workflow. Our tool will automatically generate a Visual Process Map. If the map looks disconnected, you’ve found a "knowledge gap" that needs to be filled.

Step 3: Build the Reasoning Chain

This is the most important step for AI training. Instead of just answering, use the "Voice-to-Text" feature to "think out loud." Describe your internal monologue: "I saw the pressure drop, but I ignored the alarm because the vibration was steady..." This teaches the AI how to reason, not just react.

Step 4: Record the "Rules of Thumb"

Enter your Strategic Judgments. These are the "if-then" shortcuts you’ve developed over 20 years. These become the "Heuristics" that make your proprietary SLM superior to generic AI tools.

Final Step: Your Codified Output

When you finish an expertise capture session, you will receive a structured content asset:

Tacit Knowledge Harvest (Text Doc): A human-readable codification of your expertise.

Call to Action: Let's put this process into practice.

Launch the ExpertHarvest Hub now