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Voice Receptionist case study visual
AI voice agents2025Ongoing

Voice Receptionist

AI voice receptionists that answer every incoming call and resolve customer queries, replacing a paid receptionist service that cost thousands of dollars a month.

Voice agentsRetell AIElevenLabsLLM

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Role
AI product engineering · The Logic Design (internal)
Timeline
Ongoing
Year
2025

Overview

What we set out to build.

A voice agent that picks up every inbound call, understands what the caller needs, and resolves it. It runs around the clock and replaced a paid receptionist service costing thousands of dollars a month.

Challenge

The problem in the room.

Calls can't be queued or retried, so the agent had to sound natural, respond quickly, and handle real customer queries accurately on the first try.

Approach

  1. 01

    Built the call flows on Retell AI with ElevenLabs voices for natural speech.

  2. 02

    Tuned prompts so the agent resolves common queries without escalation.

  3. 03

    Connected the agent to business systems so answers reflect real data.

  4. 04

    Iterated on conversations to cut awkward pauses and dead ends.

Outcomes

What changed.

Every call

Calls answered

24/7

Availability

Replaced

Receptionist cost

No call goes unanswered

The agent picks up every incoming call, so customers always reach something helpful, whatever the time or call volume.

Real savings, not a demo

It replaced a paid receptionist service that cost thousands of dollars a month, so the project paid for itself in daily operation.

Stack

  • Retell AI
  • ElevenLabs
  • Node.js
  • LLM APIs
  • Webhooks