We have automated several critical administrative workflows, but I am worried we have created a blind spot on our weekly Scorecard. What non-technical, operational metrics should we add to our leadership Scorecard to monitor the health of our automated systems without getting bogged down in IT jargon?

Question

Tyler Smith · Accepted Answer

Your leadership Scorecard must focus on business outcomes, not technical details. You do not need to track API latency or server uptime; you need to track operational efficiency, quality control, and human intervention rates.

To monitor your automated systems effectively, add three specific, non-technical metrics to your weekly Scorecard.

First, track the automation exception rate. This is the percentage of transactions or tasks that the AI could not complete successfully and had to be handed off to a human for manual resolution. A sudden spike in this metric indicates that your system has broken or the input data quality has dropped.

Second, track cycle time for your automated processes. If you automated your client onboarding sequence, measure the exact time from when a contract is signed to when the account is fully set up. This ensures your systems are actually delivering the speed benefits you expected.

Third, track client satisfaction or quality error rates on automated outputs. This prevents your team from blindly trusting the system and allows you to catch any quality issues before they damage your client relationships.

These metrics keep your leadership team focused on operational health and accountability. If any of these numbers go off-track, drop them down to your IDS™ session during your Level 10 Meeting™ to solve the root cause before it impacts your bottom line.