Layercode
Voice AI for Customer Support

Voice AI Customer Support: Resolve 70% of Calls Automatically

Build AI voice agents that handle tier-1 support 24/7. No WebSocket debugging. No audio pipeline tuning. Ship production-ready customer support automation in days, not months.

<500ms
Response latency
24/7
Availability
330+
Edge locations

Why customer support voice AI fails

Most companies struggle to deploy voice AI that customers actually want to use. The gap between demo and production is months of engineering work.

Unnatural latency

Customers talk over the agent or hang up in frustration

Caused by: Centralized cloud infrastructure, inefficient audio pipelines, poor VAD tuning

Robotic conversations

Turn-taking feels scripted, interruptions break the flow

Caused by: Poor interruption handling, no word-level timestamps, rigid conversation flows

Random call failures

System crashes at peak volume with no explanation

Caused by: WebSocket drops, TURN server failures, no proper error handling or observability

Integration nightmare

Can't connect to your CRM, ticketing system, or knowledge base

Caused by: Every integration requires custom development, black-box APIs with no flexibility

The gap between "cool demo" and production-ready voice AI can be months of work. Layercode closes that gap.

How It Works

Ship customer support voice AI in days, not months

Layercode handles all real-time complexity. You focus on your support logic and integrations.

1

Connect your channels

Web, mobile, or phone (via Twilio). One unified API for all channels.

$ npm install @layercode/react-sdk @layercode/node-server-sdk
2

Build your support logic

Write your agent in TypeScript or Python. Connect to your ticketing system, knowledge base, and CRM.

// Customer support agent — complete backend
import { streamResponse } from "@layercode/node-server-sdk";
import { streamText } from "ai";

export const POST = async (request: Request) => {
  const body = await request.json();

  return streamResponse(body, async ({ stream }) => {
    // Your support logic here
    const { textStream } = streamText({
      model: openai("gpt-4o-mini"),
      system: `You are a helpful support agent for [Company].
                Answer customer questions using the knowledge base.
                Transfer to human agent for complex issues.`,
      messages: body.messages,
    });

    await stream.ttsTextStream(textStream);
  });
};
3

Deploy & scale automatically

We handle WebSockets, VAD, edge deployment, and scaling. You focus on improving your agent's responses.

$ vercel deploy
 Deployed to 330+ edge locations
 WebSocket infrastructure ready
 Auto-scaling enabled
 Live at support.yourcompany.com

LAYERCODE HANDLES

  • WebSocket infrastructure
  • Voice Activity Detection
  • STT/TTS orchestration
  • Edge deployment (330+ PoPs)
  • Turn-taking & interrupts
  • Scaling & reliability
  • Session recording
  • Analytics & monitoring

YOU BUILD

  • Agent prompts & logic
  • Integration to your APIs
  • Business rules
  • Knowledge base
  • Ticket routing logic
  • Escalation workflows

What you can build

Voice AI agents for every customer touchpoint across your support operations.

Tier-1 deflection

Automate FAQs, account questions, and simple troubleshooting before escalating to human agents.

Resolve 70% of tier-1 tickets automatically

Call routing

Intelligent IVR that understands natural language and routes calls to the right department instantly.

Reduce hold times by 60%

Live agent handoff

Seamlessly transfer complex issues to human agents with full conversation context and history.

Cut average handle time by 40%

After-hours coverage

Never miss a customer call. Provide 24/7 support without hiring night shift agents.

Capture 100% of inbound inquiries

Quality monitoring

Automatic call recording, transcription, and sentiment analysis for every customer interaction.

100% call coverage vs 2-5% manual QA

Knowledge base queries

Connect to your documentation, help center, or internal wikis for instant accurate answers.

Respond from 10,000+ articles instantly

Why teams choose Layercode

70%
Ticket deflection
80%
Cost reduction
<1 week
Time to deploy
<500ms
Response latency

How Layercode compares

Average latency<500ms vs 2-3s (industry)
Developer time to production1 week vs 3-6 months
Infrastructure complexityZero vs 10+ services
Enterprise Ready

Built for production customer support

Global Infrastructure

  • 330+ Cloudflare edge locations
  • Sub-50ms audio processing
  • Zero cold starts
  • Auto-scaling to 1M+ concurrent

Security & Compliance

  • SOC 2 Type II compliant*
  • GDPR compliant
  • End-to-end encryption (TLS 1.3)
  • Automatic audit logging

Integrations

  • Telephony: Twilio, Vonage, Telnyx
  • CRM: Salesforce, HubSpot, Zendesk
  • Support: Intercom, Front, Freshdesk
  • LLMs: OpenAI, Anthropic, your own

Frequently asked questions

Other applications of voice AI agents

Start building customer support voice AI

$100 in free credits. No credit card required.