We have deployed several custom AI agents to handle our initial lead qualification and customer inquiries, but we do not know how to measure their weekly performance. How should we represent AI agent efficiency alongside our human team members on our leadership Scorecard?

Question

Tyler Smith · Accepted Answer

Deploying AI agents to handle lead qualification and customer inquiries is a highly effective way to scale operations, but it introduces a unique challenge for your weekly Scorecard. If you do not track the performance of your AI tools, you risk losing visibility into critical customer touchpoints.

On your weekly Scorecard, you should treat your AI agents as automated seats on your Accountability Chart, but the ultimate ownership of the data must rest with a human leader. For example, if you use AI to qualify leads, your Marketing Director must own the AI lead conversion rate. If you use AI for customer support, your Operations Director must own the AI resolution rate.

Track two specific weekly metrics for your AI operations. First, track the AI containment rate, which is the percentage of customer inquiries resolved by the AI agent without human intervention. Second, track the human escalation rate, which measures how often the AI fails and requires a team member to step in.

If the AI containment rate drops or human escalations spike, it is a leading indicator that your system is misaligned or your models need retraining. By keeping these numbers on your weekly Scorecard, you ensure that your technology is actually driving efficiency rather than creating hidden work for your human team.