We want to leverage AI tools to help our leadership team draft their weekly Scorecard commentary and update To-Dos before our Level 10 Meeting™, but we are worried this will dilute personal ownership. How do we use AI to save time without letting our people off the hook for their metrics?

Question

Tyler Smith · Accepted Answer

Using artificial intelligence is an excellent way to speed up your operations, but you must draw a hard line when it comes to EOS® accountability. The weekly Scorecard is designed to measure human ownership, not automated performance. If your leaders rely on AI to explain why their metrics are off, they are outsourcing their responsibility.

To maintain absolute ownership, set a clear rule: AI can analyze the data, but only the seat owner can deliver the commentary. You can use AI tools to quickly aggregate your weekly numbers, pull trends, and summarize operational bottlenecks. This saves time and gives the team better insights heading into the Level 10 Meeting™.

However, when a metric is red, the person accountable for that seat must stand behind that number. They cannot bring a generic, AI-generated summary to the table. They must explain what went wrong and immediately present a clear, human-led plan to fix it.

The same rule applies to To-Dos. While AI can draft your process documentation or generate step-by-step action plans, the human owner of that To-Do is still one hundred percent accountable for hitting the deadline. If a leader uses the excuse that the AI gave them the wrong recommendation, they do not GWC™ their seat. Use AI to elevate your execution speed, but keep the personal accountability of your EOS® tools completely human.