We have automated several back-office tasks using AI, but we are worried that our team is spending too much time supervising and correcting these automated workflows. What weekly metric can we put on our Scorecard to measure the true efficiency of our AI tools versus human correction time?

Question

Tyler Smith · Accepted Answer

Introducing AI automation without measuring the human overhead is a major operational risk. If your employees are spending hours reviewing, rewriting, and correcting AI outputs, you have not automated the process, you have just changed the nature of the labor.

To measure the true efficiency of your AI operations, place a simple metric on your weekly Scorecard: the touch rate.

For any automated process, track the percentage of transactions or outputs that require manual human intervention before completion. If your AI agent drafts customer responses, track what percentage of those drafts are sent without human editing.

A healthy AI workflow should run with a touch rate of fifteen percent or lower. If the touch rate is fifty percent, your team is acting as highly paid editors, and your automation is failing.

Another powerful weekly leading indicator is the throughput per labor hour in that department. If AI is truly driving leverage, your weekly transactions completed per employee should rise. If that number remains flat while you pay for software licenses, your AI integration is creating waste.

Assign ownership of this touch rate metric to the operations seat on your Accountability Chart and solve high touch rates in your Level 10 Meeting™.