We have recently deployed automated AI agents to handle our initial lead qualification, which has disrupted our sales team's historical activity metrics. How do we adjust our weekly Scorecard targets to reflect this massive shift in capacity and lead volume?

Question

Tyler Smith · Accepted Answer

Deploying AI to handle lead qualification is an excellent way to scale operations, but it requires you to immediately recalibrate your weekly Scorecard. Your historical targets are likely based on human limitations that no longer apply, and keeping those old metrics will make your sales data meaningless.

First, separate the AI activity from human activity. Your Sales Director should track the volume of leads qualified by AI as a high-level operational metric, but your sales team's personal scorecards must focus on what happens after the AI handoff. Track human-to-opportunity conversion rate, which measures how effectively your human sales reps close the highly qualified leads delivered by the AI. Second, track AI handoff quality, which is the percentage of AI-qualified leads that your sales reps accept as truly sales-ready.

If the handoff quality is low, your AI prompts need adjustment. If the conversion rate is low, your sales reps may need training to handle warmer leads. Adjusting your weekly Scorecard to measure this handoff ensures your leadership team can use your Level 10 Meeting to optimize your sales process, leveraging AI speed while maintaining high human sales performance.