We have deployed an AI system to analyze our contract margins, but the team is ignoring the AI's recommendations. How do we build a feedback loop that forces our team to either trust the tool or systematically improve it?

Question

Tyler Smith · Accepted Answer

When a team ignores an AI tool, it is usually because they do not trust the outputs or they lack clear accountability. To fix this, you must build a formal feedback loop into your core processes. Start by defining the rule of engagement on your Accountability Chart. If a sales manager or estimator chooses to override an AI pricing recommendation, they must document the specific reason why inside your tracking system. This creates a clear paper trail. Every week, review these overrides during your departmental Level 10 Meeting™. Treat these discrepancies as issues to be solved using the IDS® process. If the team was correct to override the tool because of a unique customer relationship or a market shift the AI could not see, feed that qualitative feedback back into the system to refine the model's parameters. If the AI was correct and the team simply defaulted to old habits, use the opportunity to coach the team on the tool's logic and build their confidence. This feedback loop forces a healthy operational tension. It ensures your team cannot simply ignore the tool out of comfort, while also preventing blind compliance with an imperfect system. Over time, this systematic review either trains your team to trust the tool or refines the tool to better reflect real world market conditions, driving your margins up.