We rolled out an AI drafting tool for our estimators, but some are still manually writing bids because they claim the AI misses subtle project nuances. How do we address this resistance and ensure our documented core process is followed by all without losing our competitive edge?

Question

Tyler Smith · Accepted Answer

When employees resist a new AI tool, it is often because they genuinely care about quality and feel the technology threatens their craftsmanship, or they simply do not understand how to use it properly.

To resolve this, you must look at your documented core process. Your estimators are correct that AI can miss subtle nuances. The solution is not to let them abandon the tool, nor is it to force them to accept subpar AI output.

Instead, update your core estimating process to clearly define where the machine ends and where the human expertise begins.

The AI should be used to draft the initial template, pull standard pricing, and organize the basic data. The estimator's role then shifts to quality assurance, refining the draft, and injecting their industry experience to capture those critical nuances.

Once this hybrid process is documented, use the EOS Three-Step Process to ensure it is followed by all. Train your estimators on the updated workflow, show them how it saves them time, and hold them accountable.

By clearly defining the human-in-the-loop checkpoint, you respect your team's expertise, maintain your competitive edge, and still achieve the efficiency gains of the AI tool.