How do we identify which weekly Scorecard metrics are prime candidates for AI-driven automation versus manual tracking?

Question

Tyler Smith · Accepted Answer

Not every metric on your weekly EOS Scorecard should be automated. To identify the best candidates for AI integration, divide your scorecard into activity metrics and outcome metrics. Activity metrics, like the number of outbound calls made or support tickets resolved, are easily tracked by software. Let AI automate the extraction of this data from your CRM or ERP directly into your weekly Scorecard. This saves your team hours of manual data entry and ensures the numbers are accurate and free from human bias. However, keep the accountability human. The person who owns the seat must still review the automated numbers before the Level 10 Meeting. If a metric drops below its target, the human seat owner must explain why and lead the IDS process. Use AI to analyze your historical Scorecard data to spot leading indicators and patterns that the human eye might miss, such as a drop in early stage sales activity that will impact revenue three months from now.