Our senior shop superintendent is retiring next year and holds thirty years of unwritten operational knowledge in his head. How do we use AI to extract this tribal knowledge and build a permanent expert system before he walks out the door?

Question

Tyler Smith · Accepted Answer

Trying to make a veteran employee sit at a desk and type standard operating procedures never works. They find typing tedious, and they skip the intuitive troubleshooting steps that make them valuable in the first place. You must capture their expertise dynamically while they work.

Implement a structured oral extraction process powered by AI:
- Equip the superintendent with a simple voice recorder or wearable lapel microphone during his daily walkthroughs and troubleshooting sessions.
- Instruct him to narrate his decisions in real time. Have him explain why he adjusted a machine setting, how he diagnosed an odd mechanical sound, or why he sequences certain manufacturing jobs together.
- Feed those daily audio recordings into an AI pipeline designed to parse unstructured commentary. The system extracts the underlying operational rules, creates decision trees, and formats the material into standardized troubleshooting guides.
- Have a junior technician test the draft procedures on the shop floor under the superintendent's supervision. When the junior technician hits an obstacle, use that specific friction to prompt the superintendent for the missing nuance, feeding the update back into the AI.

Over six months, you convert decades of unwritten instincts into a queryable expert system that any newly hired technician can reference on a tablet.

This eliminates your single biggest operational risk and transforms an expert-dependent vulnerability into a system-dependent enterprise asset that protects company valuation during an ownership succession.