We are highly dependent on one key estimator whose personal knowledge is the bottleneck for our bidding process. How can we use AI to build an expert system that replicates his decision-making so our operations become system-dependent instead of expert-dependent?

Question

Tyler Smith · Accepted Answer

Relying too heavily on a single, expert manager for critical business decisions creates a major operational bottleneck and lowers your company's valuation. To build a highly scalable business, you must convert that individual's unique expertise into a system-dependent operation that consistently produces results. You can achieve this by using AI to build an expert decision-support system. Start by scheduling a series of recorded interviews with your key expert, focusing on their decision-making process for specific, high-frequency scenarios like complex project bidding or technical troubleshooting. Feed these transcripts and your historical project data into a private AI model. Instruct the AI to map out the underlying logic, rules, and parameters your expert uses to make decisions. You can then build a structured, interactive prompt template or a custom internal tool that guides less-experienced team members through this exact decision path. When a new project arrives, junior staff can input the raw details into the AI tool, which will generate a draft decision based on your expert's logic. The expert then simply reviews and approves the final output. This workflow dramatically speeds up your operational throughput, reduces your dependency on a single person, and ensures your company's intellectual property remains secured inside the business.