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AIRA Voice AI, Voice AI

A voice agent your team can hear, watch, and review

An AIOVIX voice product that pairs a phone-agent experience with an operator view of conversation context.

Built for: AIOVIX's own voice-agent product, used to show buyers both the phone conversation and the operator view behind it.

call scenarios handled
4
call scenarios handled
voice paths: ElevenLabs and OpenAI
2
voice paths: ElevenLabs and OpenAI
call status and transcripts
Live
call status and transcripts

First agent live in one week. A short call. Your first agent, a fixed quote, and the timeline. No obligation.

AIRA Voice AI case study overview: what we built, key numbers, and AI used

Sound familiar?

  • “A voice demo sounds great, but I need to see what it actually captured from the call.”
  • “Our staff have to know what happened on a call before they can follow up.”
  • “We can't risk a demo that books fake appointments into a live calendar.”

How the system works.

  1. Step 1

    Phone path to a voice agent

    A Twilio phone number connects to the agent, with an ElevenLabs production route and a separate OpenAI Realtime media bridge.

  2. Step 2

    Scripted business behavior

    Agent instructions cover qualification, business questions, lead capture, and requests to speak with a person.

  3. Step 3

    Operator workspace

    Staff see call status, transcripts, summaries, and email notifications for every call.

  4. Step 4

    Safe demonstrations

    Booking roleplay uses sample slots, so a demo never records a live appointment.

  5. Step 5

    Production readiness checks

    Twilio signature validation, HTTPS webhooks, dashboard authentication, and a health endpoint that checks required configuration.

What changed.

  • A working phone experience shown side by side with the call record and transcript.
  • Buyers can inspect exactly what the agent captured, not just hear the conversation.
  • Provider callbacks validated and deployment readiness visible through a health check.

The AI inside.

ElevenLabs

Voice agent on the production phone path

OpenAI Realtime

Alternative real-time voice media bridge

OpenAI

Call summary generation

The full stack.

Frontend

  • Next.js
  • React
  • TypeScript

AI and automation

  • ElevenLabs
  • OpenAI Realtime
  • OpenAI summaries

Integrations

  • Twilio voice
  • Twilio status callbacks
  • Resend email

Infrastructure

  • Authenticated dashboard
  • Health checks
  • HTTPS webhooks

This fits you if...

  • You want to see a voice agent working before committing to one.
  • Your team needs the transcript and outcome of every AI call.
  • You care about call data being validated and secure, not just a good demo.

Start with a free Agent Audit. First agent live in one week

The AI Operations Assistant brings this to your team.

An AI team member that handles the admin work across your email, documents, CRM, and spreadsheets, and asks before anything important goes out.

Full project write-upRead it

Project overview

A phone-agent experience with an operator view of the conversation

Services: AI Receptionists ; AI Agents ; AI ERP & CRM
Delivery: AIOVIX-owned voice product and demonstration workspace.

The Problem

A voice-agent demo has two audiences. The caller needs a natural conversation. The person buying or operating the system needs to know what was captured and what happens after the call.

AIRA was built to show both sides: a phone interaction and an operator-facing call view.

What We Delivered

The application connects a Twilio phone path to a voice agent. Production notes specify an ElevenLabs-connected route, while the repository also contains an OpenAI Realtime media bridge.

The agent instructions cover qualification, business questions, lead-capture scenarios, and human-contact requests. The workspace exposes call status, transcript records, summary support, and email notifications.

Booking roleplay uses sample slots. A demonstration can show the conversation without falsely recording a live appointment.

Engineering Decisions

Keep voice-provider paths distinct. The ElevenLabs configuration and OpenAI bridge are separate implementations. A deployment chooses the path it is using.

Track call state outside the spoken exchange. Voice and call-status webhooks support the operator view.

Validate provider callbacks. Production requirements include Twilio signature validation, HTTPS webhook configuration, and dashboard authentication.

Make deployment readiness visible. A health endpoint checks the required production configuration.

Results

AIRA provides a phone experience that can be demonstrated alongside call information and transcripts. This allows a buyer to examine the conversation and its operational record together.

No production call-volume or latency benchmark is attached to this study. The local version uses an in-memory call store; durable retention and production CRM persistence need confirmation against the deployed version before being included as delivered scope.

Technology stack

Next.js, React, TypeScript; Twilio voice and status callbacks; ElevenLabs production-path configuration; OpenAI Realtime media bridge and summary code; Resend; authenticated dashboard and health checks.

Want this for your team?

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