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LIVEWire: From Implementation to Success - A Guide to… | SignalWire
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LIVEWire: From Implementation to Success - A Guide to Deploying AI Agents

This session is tailored for developers looking to leverage the most advanced AI capabilities in real-time communication. SignalWire's AI Voice Agent API isn't just another voice solution - it's built on a sophisticated, developer-centric framework designed to scale with your needs.

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From Implementation to Success: How to Deploy AI Voice Agents That Actually Work

If you’ve been curious about integrating AI into your voice systems but aren’t sure where to start or you're worried about complexity, cost, or disrupting your current setup, this is the webinar you’ve been waiting for.

In our latest LIVEWire session, From Implementation to Success, our hosts walk through how to build and deploy AI-powered voice agents that are flexible, scalable, and actually useful—without ripping out what you already have in place.

Why AI Voice Agents?

AI voice agents are no longer just a novelty. With the right setup, they can now handle 70–90% of routine customer interactions, from answering questions to scheduling appointments, and even summarizing issues before handing the call off to a human agent.

More than just automation, SignalWire’s AI agents are built for contextual awareness, multi-channel orchestration, and real-time data access—which means they’re smart enough to route, respond, and resolve without making your customers repeat themselves.

The Tools That Make It All Possible

Here’s a quick look at the tools Chelsea covers in the webinar:

  • SignalWire Call Fabric Platform
    A developer-first communication stack that makes it easy to build voice, video, and messaging applications with built-in AI functionality.

  • SWIML (SignalWire Markup Language)
    A scripting language designed for voice automation, with a built-in editor to validate and test flows without endless debugging.

  • SWAG (SignalWire AI Gateway)
    A powerful integration tool that connects your AI agents to external APIs, services, and databases to fetch real-time data during a live call.

  • DataSphere API
    Your custom knowledge base for voice agents—curate, tune, and serve up only the data you want your AI to use, without hallucinations.

  • AI Agent Builder & Visual Tools
    For those who want to drag-and-drop instead of code from scratch, Agent Builder makes it easy to test and iterate quickly.

Live Demos: Kevin the Bartender & Bobby’s Tables

Two live demos brought the theory to life:

  • Kevin the AI Bartender: Powered by DataSphere, Kevin pulls cocktail recipes from a structured internal dataset and answers in real-time—no hallucinations, no generic web scraping.

  • Bobby’s Tables: A Halloween-themed restaurant reservation agent that remembers context throughout the call and delivers a fully automated reservation experience, complete with SMS confirmation.

These demos aren’t canned. They run live, using real components you can build with today and you can grab the code on GitHub to try them yourself.

Built for Developers, Ready for the Real World

Whether you’re in customer support, healthcare, retail, or logistics, this webinar offers a blueprint for how to start with AI voice agents—and scale when you're ready. You don’t need to be a machine learning expert or reinvent your infrastructure. Just plug in what you need, build fast, and deploy smarter.