The Art of Teaching Algorithms to Listen: What’s New in Conversation Relay
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Building a voice AI demo is easy. Building an enterprise-grade agent that handles the nuances of human conversation, without awkward pauses and at scale, is incredibly difficult. We released Conversation Relay to GA one year ago to simplify voice AI infrastructure.
Since then, developers have racked up over 25 million minutes with Conversation Relay, moving from experimental prototypes to high-scale production. We eliminated the complicated voice infrastructure so teams can launch faster and turn prototypes into measurable ROI. Over the past 12 months, we have added out of the box infrastructure, advanced controls, and secure compliance standards to make it easier for you to reduce backend complexity, safely scale regulated workloads, launch faster, and deliver real business results with voice AI.
New Conversation Relay releases, better Voice AI
Today, we’re building on that momentum by rolling out new capabilities, giving you even more control over how your agents listen, speak, and scale:
- AI agents capable of natural conversation. Interruptions and awkward pauses ruin the customer experience. Conversation Relay already provides integrations with the leading speech-to-text (STT) models. We’re upping the game with support for Deepgram Flux. This improved STT model accurately detects when a speaker finishes, handles natural filler words, and filters out background noise. Paired with improved automatic language detection and SSML tags to fine-tune speech, you can now create smooth, human-sounding conversations.
- Compliant AI agents that can scale. Strict compliance requirements often keep great voice AI use cases stuck in testing. Financial services and healthcare customers needed full control to create bespoke experiences, so they turned to Twilio. We are unlocking these restricted workloads by supporting PCI-compliant workflows and HIPAA-eligible architectures. This allows you to scale securely and confidently, even in highly regulated industries.
- Drag-and-drop AI agent workflows. Hard-coding voice workflows from scratch is a massive time sink. That’s why we are introducing the Conversation Relay Studio widget, which lets your team build using intuitive drag-and-drop tools rather than pure code. This drastically accelerates your time to value by empowering you to deploy secure voice flows visually.
- Control to enhance user experience (UX). You shouldn't have to fight rigid, off-the-shelf agents to get the right user experience. With simple new tools like a Bring Your Own Text-to-Speech pilot and adjustable interruption sensitivity, you have total freedom to easily fine-tune how your agent behaves in noisy backgrounds.
These new Conversation Relay features help you launch voice AI faster—and there’s even more coming at SIGNAL San Francisco 2026. But the real value comes from getting agents into production.
Simplifying Voice AI Architecture
The real roadblock to taking a voice AI agent from prototype to enterprise-ready is the sheer complexity of the infrastructure required, with developers burning valuable time piecing together WebSocket messages, LLMs, and conversation states just to make an agent work
Conversation Relay handles all of this automatically by connecting real-time voice, routing requests, and managing conversation flow from end to end. The result is a fast, reliable platform with low latency and precise controls, so you can focus on building intelligent conversations instead of stitching systems together.
And because Conversation Relay benefits from Twilio Programmable Voice, you get a voice API that evolves with every shift in your business. You can track performance and continually refine your agents, so every interaction gets smarter and drives ROI.
The proof: $8.4 Million in three months
Local businesses and home service providers can’t afford to miss calls. Each missed call is a missed customer and lost revenue. The real challenge is the technical complexity that slows teams down and pushes ROI further out of reach.
Scorpion faced this head-on. Instead of wrestling with backend infrastructure, they used Conversation Relay to launch a natural-sounding voice AI agent in weeks, not months. That agent now answers calls and books appointments around the clock. In its first three months, it brought in $8.4 million in total revenue generated in the first three months.
By clearing away technical barriers with Conversation Relay, we made it possible for Scorpion to unlock ROI fast, and serve their customers better.
Breaking out of legacy automation
Legacy self-service tools leave customers stranded in endless menus and silence. Twilio changes the conversation. With Conversation Relay, all the complexity fades away and you’re free to create conversational AI experiences that actually feel human. It’s the infrastructure that lets you create real conversations and lasting customer trust. It’s a new era for customer connection, and Twilio is leading the way.
The future is yours to build. Explore Conversation Relay today to discover exactly how these new capabilities can help you scale secure voice AI.
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