Our leadership team spends hours every Monday morning manually compiling metrics from three different software systems to update our Scorecard before our Level 10 Meeting. How do we use AI to automate this preparation so we can focus on solving issues?

Question

Tyler Smith · Accepted Answer

A healthy Level 10 Meeting™ requires a completely updated Scorecard so your team has the accurate data needed to identify, discuss, and solve problems during the IDS® portion. Manually pulling these metrics from disparate software systems is a low-value administrative task that delays your meeting prep and leads to human error.

You can resolve this bottleneck by hiring a lightweight AI agent to pull these metrics automatically. Set up an automated workflow that logs into your various tracking systems, extracts the weekly numbers, and formats them into a simple, structured data feed. The agent can then automatically populate your Scorecard columns every Monday morning at a scheduled time.

To take this a step further, program the AI agent to analyze the newly updated Scorecard against your established target thresholds. If any metric is off-track, the system can automatically create a concise draft of the corresponding issue and add it to your Issues List, complete with a brief summary of why the number was missed.

This approach completely eliminates manual data entry and ensures your leadership team arrives at the meeting with a clean, fully populated Scorecard and a well-defined Issues List. Your team can immediately jump into solving the real operational root causes instead of wasting time arguing over who forgot to update the numbers or what the raw data actually means.