We are looking at a platform that promises to speed up our estimating process, but we have been burned by software that did not deliver. How do we measure the actual operational ROI of an AI tool before we commit to rolling it out company-wide?

Question

Tyler Smith · Accepted Answer

To measure the ROI of any new software, you must ignore the vendor marketing hype and focus strictly on capacity creation and process bottlenecks. Before you sign a contract, identify the specific process that keeps your employees trapped in low-value work.

First, document the current baseline of the process. Calculate how many hours your team currently spends on the manual task each week, and multiply that by their fully burdened hourly rate. This gives you your baseline cost of execution.

Second, run a restricted pilot with one or two team members. Have them use the tool to complete the same task for two weeks. Measure the cycle time and the quality of the output.

Third, calculate the capacity created. If the pilot shows a fifty percent reduction in time, do not assume you will automatically save that money in payroll. You must deliberately reallocate those saved hours to higher-value strategic work or use the capacity to handle more volume without hiring.

Track these metrics on your weekly Scorecard. If the tool does not show a measurable reduction in cycle times or a clear increase in capacity within thirty days, treat it as an issue to IDS in your Level 10 Meeting and cut the software.