Our senior field operations director plans to retire next year with thirty years of institutional troubleshooting knowledge. How do we use AI to capture that operational wisdom into an expert system before they leave?

Question

Tyler Smith · Accepted Answer

Retiring veterans present a major risk to enterprise value. When thirty years of diagnostic logic and edge-case operational expertise reside entirely between one person's ears, your business is dangerously expert-dependent. If that person walks out the door, your remaining team will waste years reinventing solutions to problems that were solved decades ago.

Do not ask your veteran to write SOPs from scratch. Senior experts hate typing out process manuals, and they almost always omit the subtle, intuitive nuances that make them effective. Instead, use AI to interview them systematically over an extended period.

Set up weekly, recorded forty-five-minute interview sessions. Have an operational leader walk the veteran through historical crisis scenarios, complex job failures, unique equipment breakdowns, and customer edge cases. Use transcription and automated AI parsing to extract the specific diagnostic logic: what exact symptoms did the expert look for, what order of operations did they follow to isolate the issue, and what immediate corrective action did they take?

Feed these structured operational transcripts into a centralized company knowledge base. Use that repository to build a dedicated internal troubleshooting assistant that your junior field staff can query directly from their mobile devices. Before the veteran leaves, run parallel testing: whenever a field problem arises, give the scenario to the AI assistant and have the veteran grade its recommendation. Refine the system until the tool produces the veteran's answer consistently. You turn irreplaceable tribal knowledge into a permanent, system-dependent corporate asset.