Our senior estimator spends half his week doing routine pricing calculations for basic jobs. How do we turn his decision logic into an internal AI expert system so junior coordinators can generate accurate bids?

Question

Tyler Smith · Accepted Answer

Expert-dependent operations destroy business valuation because key technicians become irreplaceable bottlenecks. When an experienced estimator keeps his pricing logic in his head, your company cannot scale and buyers see massive transition risk.

To extract that intellectual property, conduct an operational audit of his decision rules. Have your senior estimator record his screen while quoting twenty historical jobs, speaking his reasoning out loud as he evaluates customer drawings, material costs, subcontractor markups, and risk premiums.

Feed those transcripts, along with completed quotes and historical job profitability data, into a private language model to draft a definitive estimating decision tree. Refine those rules until you have a codified system prompt that accepts project parameters and outputs an itemized bid calculation based on his exact methodology.

Build a simple internal interface where junior coordinators input job specifications and receive a draft estimate. The senior estimator reviews and signs off on the final quote during a brief five-minute quality check. This transforms an expert-dependent bottleneck into a system-dependent operational asset that protects margin and increases exit value.