Case Study 03

AI Voice Calling Agent

ClientFrance-Based BusinessLocationFranceServiceAI ServicesTimeline4–6 weeks (MVP to production)
AI ServicesVoice AIFranceLLM + Telephony
The challenge

A France-based company was losing leads to missed calls and slow follow-ups. Human agents couldn't cover all time zones or handle peak call volumes — and there was no multilingual support.

  • High cost of human agents for repetitive, scripted queries
  • Missed calls during off-hours leading to lost leads
  • No multilingual capability — French and English both required
  • No automation for appointment booking or lead qualification
What we built

We built a fully functional AI Voice Calling Agent — a 24/7 virtual representative handling real conversations, qualifying leads, booking appointments, and routing calls intelligently.

  • AI-powered inbound and outbound calling with natural language conversation
  • Multilingual support — French and English with context-aware responses
  • Automated lead qualification and intelligent call routing
  • Calendar-integrated appointment booking with confirmation flows
  • Human handoff option for complex conversations

Results & impact

Outcomes that moved the business

24/7Zero missed calls
InstantResponse time
60–80%Call center workload reduced

Tech stack

Built with

Twilio / VoIP / SIPSpeech-to-Text (STT)Text-to-Speech (TTS)Node.js / PythonReact DashboardMongoDB / PostgreSQLCRM REST APIsAWS / CloudLLM Conversational Engine

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Questions & answers

About this project

What challenge did France-Based Business face before the AI Voice Calling Agent?

A France-based company was losing leads to missed calls and slow follow-ups. Human agents couldn't cover all time zones or handle peak call volumes — and there was no multilingual support.

How did DH Solutions solve it for France-Based Business?

We built a fully functional AI Voice Calling Agent — a 24/7 virtual representative handling real conversations, qualifying leads, booking appointments, and routing calls intelligently.

What results did the AI Voice Calling Agent deliver?

60–80% — Call center workload reduced. 24/7 zero missed calls, and instant response time.

What technologies were used to build the AI Voice Calling Agent?

DH Solutions built it with Twilio / VoIP / SIP, Speech-to-Text (STT), Text-to-Speech (TTS), Node.js / Python, React Dashboard, MongoDB / PostgreSQL, CRM REST APIs, AWS / Cloud, LLM Conversational Engine.

How long did the AI Voice Calling Agent project take?

DH Solutions delivered the AI Voice Calling Agent for France-Based Business (France) in 4–6 weeks (MVP to production).

Have a similar project in mind?

Let's talk about how DH Solutions can design and build the right solution for your business.

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