Elevating the Call Center Experience with AI

Too often, call center voice data is treated like a black box. Teams spend countless hours manually reviewing a tiny fraction of calls, hoping to catch compliance risks, coaching opportunities, or customer churn signals before it’s too late. The stakes are high, and relying on a 2% QA sample is costly. If you want to scale your customer experience, you have to learn how to analyze every interaction correctly, and fast.

In this interactive workshop, we bring your CX and operations leaders together to demystify voice analytics. We break down the massive, looming challenge of "deploying call center AI" into practical, actionable steps using the Call Center Analyzer framework. Drawing from my experience building an AI startup from zero to global deployment, I’ll show your team how to move past random sampling, automate quality assurance, and turn raw conversations into measurable business intelligence, without needing a Ph.D. in machine learning.

Technology’s role is to automate the tedious work so your team is freed up to be more empathetic, proactive, and strategic. That only happens when leadership is aligned and you have the right framework in place. Stop sampling, and start solving.