Extend Your Workforce: Building & Calibrating AI Agents at Scale

Webinar Overview

Join us for part three of a four-part webinar series exploring how Zenarate helps organizations build a closed loop approach to frontline performance.

Part three shows what’s possible when you extend the same CX insights and root cause analysis you’d use to develop a person into an AI agent suite, giving you a way to build agents, calibrate their behavior against real outcomes, and hold them to the same standard as your best performers. Your agents can hold real, natural conversations while still operating inside deterministic guardrails that your business defines and fully controls, not a black box you have to trust blindly. That combination of self-serve control and guardrails is what gives you the confidence to deliver on the same brand standard, whether a customer is talking to a person or an AI agent. You’ll see what it looks like to manage your human and AI workforce as one team, working from one true north.

Whether you’re evaluating new technologies or looking to modernize your approach to training, coaching, quality, and AI, the webinars in this series will provide practical strategies, live demonstrations, and real-world examples of what’s possible with the Zenarate platform.

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Key Takeaways

The Same Insights, Applied to AI Agents

How the CX insights and root cause analysis you'd use to develop a person carry over to building and calibrating agents against real outcomes.

One Standard for Every Performer

How holding AI agents to the benchmark set by your best people keeps the brand experience consistent whether a customer reaches a person or an agent.

Natural Conversations Inside Guardrails you Control

How deterministic boundaries defined by your business let agents converse naturally without becoming a black box you have to take on faith.

Human and AI Managed as One Workforce

What it looks like to run both from a single true north instead of two disconnected performance programs.