Our Step by Step Exit assessment shows high risk because our pricing and job estimation process relies heavily on my co-founder's gut instinct. How do we build an expert system using AI to standardize our estimation and make our pricing system-dependent before we prepare for an exit?

Question

Tyler Smith · Accepted Answer

To eliminate the owner-dependent pricing trap before you sell your business, you must extract your co-founder's tribal knowledge and codify it into a reliable expert system. This is a critical step in building the exit-ready superstructure outlined in Step by Step Exit. Start by having your co-founder record video walk-throughs of their last twenty pricing estimations. Have them speak out loud, explaining exactly why they adjusted a price up or down based on specific project variables. Feed these transcripts and your historical estimation spreadsheets into a private AI tool. Instruct the AI to analyze these documents and extract the underlying pricing logic, constraints, and formulas. Use this analysis to draft a highly structured, step-by-step Standard Operating Procedure for pricing within your EOS Process Component. Next, build a simple, interactive pricing assistant using a private AI model. Program the assistant with your newly codified rules, historical pricing data, and safety parameters. Now, instead of relying on your co-founder, a junior estimator can enter the project parameters into the assistant, which will generate an accurate estimate based on the co-founder's logic. Run this expert system side-by-side with your co-founder for thirty days to verify its accuracy. Once proven, update your Accountability Chart so the junior estimator fully owns the pricing metric. This shift from expert-dependent to system-dependent operations dramatically reduces your operational risk, eliminates the valuation discount, and ensures a clean transition during your eventual exit.