About this webinar-series
Parloa’s AI Agent Management Platform (AMP) is designed to help you deliver better customer experiences and build deeper relationships through every conversation.
In this series, we’ll walk through the full potential of AMP. Whether you’re trying to scale with empathy, reduce the pressure on your team, or simply stay ahead of the curve, this is where your AI journey begins.
Webinar I
The Future of Customer Engagement: Parloa’s AI Agent Management Platform in Action
May 20, 10:30 – 11:00 am (EDT)
AI is changing how contact centers operate, but the real value comes from how you use it.
In this session, we’ll explore the core of Parloa’s AI Agent Management Platform (AMP): how it helps you scale with empathy, deliver consistent experiences, and resolve customer issues faster than ever.
What to expect:
- An quick intro to Parloa AMP and how it powers AI Agents that actually sound natural and on-brand
- A live demo of the platform in action, and a glimpse into the future of customer service
- How AMP delivers value to your businessWhether you’re just starting out to explore AI solutionsor ready to take it further, this session will give you the knowledge to move from idea to implementation.
Webinar II
Building the Next-Gen Contact Center: How Multi-Agent Systems, Simulation and Evaluation Optimize the AI Agent Lifecycle Management
May 28, 10:30 – 11:00 am (EDT)
Behind every AI-powered interaction is a complex system of tools, processes, and people working together to consistently deliver the level of quality customers expect.
In this session, we’ll take a closer look at what it really takes to scale AI Agents in a modern contact center. You’ll learn how Parloa supports enterprise-grade lifecycle management, from initial design to real-time evaluation.
Here’s what we’ll cover:
- Why scaling AI Agents is about more than just automation. It’s about trust, performance, and resilience
- How simulation helps identify performance gaps, security risks, and unexpected behavior before go-live
- What we’ve learned from real-world enterprise implementations and how to avoid common pitfalls
