The QA Leader’s Guide to Agentic AI in Call Centers

Agentic AI is entering ‘buzzword’ territory (or maybe it already has!) but once you match it with a real-world use case, it becomes a lot more concrete.

Take agentic AI and call centers, for example.

While our old chatbots needed rigid, step-by-step directions, all agentic AI needs is a compass and a destination—it will find the way on its own.

This opens up fresh opportunities for self-service, workflow optimization, data analysis, and more, but it brings added risk too—and this is where QA comes in. If interaction volumes are scaling with AI, your QA function must keep up.

In this guide, we’ll walk you through:

-What agentic AI is really capable of (beyond all the hype)
-How it’s already transforming self-service, compliance, analytics, and more
-Why QA teams are central to making it all work

Plus, key strategies for deploying agentic AI in your call center. Learn how to:

-Automate routine QA tasks to scale to 100% conversation coverage (for both AI + human agents)
-Engage agents by eliminating stress, tailoring coaching, and more
-Integrate agentic AI without ripping up your tech stack
-Future-proof your QA team with 9 steps to prep for agentic AI

It doesn’t matter if you’re just learning about agentic AI for the first time, or you’ve already done research and want actionable tips for implementation, this guide will help you take the next step.

Download the eBook now to learn how agentic AI is redefining contact center QA—and what you must do to get ready for it. 👉

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