Our senior estimator has thirty years of experience and is planning to retire next year. How do we use AI interviews to extract and structure their institutional knowledge before they exit so that their successor is set up for success?

Question

Tyler Smith · Accepted Answer

Losing decades of institutional knowledge when a key employee retires is a massive risk for any business. Traditional transition plans fail because veteran employees often do not realize how much specialized knowledge they actually hold in their heads. You can use modern AI tools to extract this wisdom before they exit.

Instead of asking your senior estimator to write down their entire workflow, which they will likely never have time to do, set up a structured interview process. Have them record three-minute videos of themselves completing actual bids, explaining their thought process out loud as they work.

Next, feed these call transcripts, video recordings, and historical estimating spreadsheets into a private, secure AI database. Use the AI to analyze the patterns, rules of thumb, and unique calculations your veteran estimator uses to price jobs.

The AI can then synthesize this unstructured data into a clean, step-by-step estimating manual. It can even create an interactive assistant that allows their successor to ask questions like how to estimate a job in a specific region or with unusual materials.

By using AI to convert decades of personal experience into structured corporate knowledge, you protect your enterprise value, ensure a smooth handoff, and set the next seat owner up for immediate success.