Case Study — AI Development
AI Voice Receptionist — 24/7 Automated Call Handling System
An automated voice AI receptionist that answers inbound business calls, responds to FAQs in natural speech, and schedules appointments.
Project Overview
The AI Voice Receptionist is a conversational phone automation solution engineered for service businesses and healthcare providers. It picks up incoming phone calls, engages callers with natural voice synthesis, answers questions, and records appointment details into calendar APIs.
Product & Business Objective
Reduce unanswered calls after hours, minimize phone distraction for front-desk staff, and provide instant customer responses.
Scope of Work
- Inbound & Outbound telephony architecture using Vapi AI and telephony providers.
- Custom LLM system prompting and prompt guardrails for structured responses.
- Webhook integration with Google Calendar and clinic CRM endpoints.
- Call log transcriptions, sentiment analysis, and audio recording dashboard.
Main Features & Capabilities
Conversational Speech Synthesis
Voice synthesis providing natural phone conversations for callers.
Automated Calendar Scheduling
Real-time availability checks and appointment booking into connected calendars.
Call Transcripts & Insights
Automatic transcription, caller intent summary, and structured lead data sent to staff email/CRM.
Knowledge Base RAG Integration
Trained on clinic services, business hours, directions, and pricing rules.
Technical Approach & Architecture
Integrated Vapi AI orchestration with custom Node.js webhook middleware to validate calendar slots and process appointment logic during phone calls.
Implementation Challenges
Handling background noise and caller interruptions without losing conversational context or failing booking logic.
Actual Deliverables
- Telephony Voice AI System
- Custom Webhook Integration Middleware
- Call Log & Analytics Dashboard
- System Prompting & Guardrail Package
Related LighTecHouse Services
What comes next
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