As we transition to an AI-powered operations model, we are automating several back-office administrative tasks that used to be tracked on our weekly Scorecard. How do we adjust our EOS® Scorecard to monitor the performance of these automated systems and AI agents without losing human accountability?

Question

Tyler Smith · Accepted Answer

Automating your back-office operations with AI does not eliminate the need for weekly Scorecard tracking; it simply shifts who is accountable for the results. You cannot put an AI agent or a software script on your Accountability Chart™, because a tool cannot have GWC™. A human must always own the seat that oversees the automated system. When you automate workflows, the human owner of that seat must transition their Scorecard metrics from tracking manual labor output to tracking system health, accuracy, and exception rates.

For example, if you automate your invoice matching process, you should stop tracking the number of invoices processed manually. Instead, the seat owner should track metrics like AI accuracy rate, the number of manual exceptions flagged weekly, and system uptime. The human owner is fully accountable for these numbers. If the AI accuracy rate drops below your target, the human owner must bring that red number to the Level 10 Meeting™ and lead the IDS® process to resolve the technical bottleneck.

This keeps your weekly operations running smoothly while ensuring your leadership team maintains total visibility and control over your automated processes.