Hello, I’d like an appointment on Thursday afternoon.
Case study · Voice AI · Yeastar
24/7 virtual receptionist — answer calls even when nobody is available.
We developed a virtual phone receptionist around Yeastar P-Series. It answers calls 24/7, handles selected questions from a knowledge base, qualifies the request, routes calls and can trigger appointment workflows through connected business systems.
VOICE AI · 24/7Réceptionniste virtuelle
● LIVE« Bonjour, je voudrais un rendez-vous jeudi après-midi. »
« Je peux vous proposer 14h30 ou 16h. »
INTERACTIVE DEMO
Simulate a call with the virtual receptionist.
Try three scenarios: book an appointment, answer a common question and route the caller to the right team. The transcript, intent and action update live.
voice-console.demoVOICE AI
TRANSCRIPTION LIVEVirtual receptionist
LIVEOf course. I have availability at 2:30 PM and 4:00 PM. Which time works best?
AppelCompréhensionRendez-vous
Project
The goal was to make sure a call always receives a useful first response. The virtual receptionist handles simple requests, captures call intent and moves the journey forward before a person needs to step in.
Challenge
Calls arrive during meetings, busy periods and after hours. Voicemail captures a message, but it does not answer the question or qualify urgency.
Solution
The solution uses Yeastar P-Series and AI Receptionist for voice intake, knowledge and routing. We add the integrations needed for scheduling, CRM and business actions.
What we implemented
From prototype to an operational system.
24/7 answering
Provide consistent first response to every call, including after hours.
Voice FAQs
Use a knowledge base to answer common questions.
Qualification
Identify intent, destination and useful caller information.
Intelligent routing
Transfer to the right person, ring group or destination.
Appointments
Query a connected calendar and prepare or confirm a slot according to the workflow.
Follow-up
Keep call data, reports and actions available to improve service.
Result
A phone front desk that does not stop when the office closes.
Simple requests can be handled immediately, calls arrive better qualified and teams receive clearer context when a human is required.