We have integrated a few AI workflows into our operations, but I am worried they will quietly break without anyone noticing until a client complains. How do we build a weekly monitoring scorecard for our automated processes?

Question

Tyler Smith · Accepted Answer

Automations do not get tired, but APIs change, software updates break connections, and unexpected input formats can cause your AI workflows to fail silently. To prevent these silent failures from reaching your clients, you must establish an operational safety net.

Every automated workflow must be owned by a human seat on your Accountability Chart. That person is responsible for monitoring the health of the automation, just like a manager monitors a human employee.

Add specific, leading indicators to your weekly scorecard to track your AI health. These might include:

- The total volume of transactions processed by the AI.

- The percentage of transactions that required human escalation.

- The average processing time for the automated workflow.

If your scorecard shows that the AI handled one hundred transactions last week with zero escalations, your system is healthy. If you suddenly see a spike in human escalations, or if the volume drops to zero while your sales remain steady, you know a pipeline is broken.

Establish a simple rule: if an automated system fails to update its status or scorecard metric, it triggers an immediate issue for your weekly Level 10 Meeting. This ensures your team IDS issues and fixes technical glitches long before your clients ever realize there was a problem.