Our business is heading toward a Step by Step Exit in three years, and our Business Insights Report flagged that our project bidding process is entirely dependent on our senior estimator's gut feel. How do we use AI to standardize this bidding knowledge so a buyer sees a system-dependent asset?
A business that relies on one person's gut feel to price jobs is highly expert dependent. A strategic buyer will see this as a massive risk during due diligence and will discount your valuation accordingly. To prepare for a clean Step by Step Exit, you must turn that individual expertise into a system dependent asset.
Start by sitting down with your senior estimator to document their decision making framework. Ask them to explain the rules they use to calculate costs, assess risk, and determine margins.
Once you have these rules documented, you can build a simple expert system using AI. You do not need a complex coding project. You can load these rules, historical pricing data, and past winning bids into a secure AI assistant.
This assistant can then act as a first pass estimator for your team. When a new project comes in, a junior team member can input the specifications, and the AI will generate a draft bid based on the senior estimator's established rules.
Your senior estimator still reviews and signs off on the final bid, but the heavy lifting is done by the system. This proves to a buyer that your estimation process is standardized, scalable, and can run smoothly even if your senior estimator leaves the company after the transition.
Category: AI-Powered Operations