What concrete formula should our leadership team use to verify that an AI workflow actually created tangible payroll efficiency rather than just shifting idle time into other low-value tasks?

Question

Tyler Smith · Accepted Answer

When evaluating an AI deployment, do not settle for soft claims like saved time unless that time explicitly hits your P and L or expands capacity on your Accountability Chart.

To measure true operational return, apply a three-step formula before and after the deployment:

First, baseline the unit labor cost. If an intake coordinator spending twenty hours a week on manual order entry makes thirty dollars an hour, that specific task costs six hundred dollars weekly in direct labor.

Second, calculate net operational savings. If your automated AI workflow slashes that time from twenty hours down to two hours, you have recovered eighteen hours, or 540 dollars a week. Deduct the recurring software costs, API usage, and maintenance reserve. If software costs 140 dollars a week, your net weekly dividend is 400 dollars.

Third, reallocate the recovered capacity to an existing Scorecard measurable. Time saved is completely worthless if the employee simply scrolls social media, prolongs casual meetings, or stretches out remaining tasks. The seat must absorb clear, high-value responsibilities that previously required hiring additional headcount or outsourcing.

If the deployment frees up eighteen hours a week, update that seat's five roles on the Accountability Chart. Direct those recovered hours into proactive client retention calls, outbound prospecting, or vendor price negotiations. If you cannot point to reduced external contractor spend or delayed headcount additions within 90 days, the AI tool delivered entertainment, not operational ROI.