Our veteran operations manager holds all of our complex production scheduling logic in their head, which makes us highly expert-dependent and scares off potential buyers. How do we use AI to convert this individual's tribal knowledge into a system-dependent workflow?

Question

Tyler Smith · Accepted Answer

To build a system-dependent business that is ready for a clean exit, you must extract this tribal knowledge and turn it into an expert system. Your veteran operations manager likely cannot easily write down everything they do because much of their decision-making is intuitive. AI can bridge this gap by acting as an objective observer and translator.

Start by recording your manager as they perform their scheduling tasks. Have them record brief Loom videos or audio notes explaining their reasoning as they solve real-world problems. Do this for two weeks to capture a wide variety of scheduling scenarios and constraints.

Next, feed these raw audio and video files into an AI system designed to analyze and structure unstructured data. The AI can quickly identify the underlying rules, variables, and decision trees that your manager uses unconsciously. Use this output to write clear, step-by-step standard operating procedures for your Process Component.

Once you have the documented logic, you can build a simple internal AI assistant that junior team members can use to run the scheduling process. Your veteran manager is freed from daily bottlenecks, and your business is no longer vulnerable to their sudden departure. This transition from expert-dependent to system-dependent operations directly improves your exit readiness and valuation.