Our senior service dispatcher has run our scheduling based on personal intuition for fifteen years, making us highly expert-dependent. How do we use AI to convert this individual's deep expertise into an automated scheduling assistant so our junior dispatchers can run the board?

Question

Tyler Smith · Accepted Answer

An expert-dependent business is a high-risk liability that lowers your valuation when you prepare for an exit. To build system-dependent operations, you must extract this dispatcher's intuitive decision-making process and turn it into an expert system.

Start by recording the senior dispatcher as they walk through their scheduling decisions for a week. Ask them to think out loud as they prioritize service calls, assign technicians, and plan routes. Use a secure AI tool to transcribe these recordings and analyze the transcripts for recurring rules, such as technician skill matching, geographic density, and customer priority levels.

Once you have identified these underlying rules, document them clearly in your Process Component. Then, input these rules into a custom AI assistant built to draft your daily schedules.

Train the senior dispatcher to review the AI-generated schedule drafts. Have them correct any errors and explain why they made those corrections. Feed those explanations back into the AI assistant to refine its decision-making logic.

Within a few weeks, the AI will consistently produce scheduling drafts that match the expert's quality. This transition allows your junior dispatchers to confidently run the scheduling board using the tool, freeing your senior employee for higher-value operational roles on your Accountability Chart and proving to buyers that your operations are fully system-dependent.