Built
AI receptionist on WhatsApp
Answers, qualifies, books the appointment. Day and night.
Connected tools
WhatsApp Cloud API · OpenAI · Google Calendar · Google Sheets · Gmail
The walkthrough
Video in the worksThe workflow already exists — the filmed walkthrough is coming.
The scenario
A local business takes its enquiries on WhatsApp. The agent answers questions, qualifies the need, checks the calendar, books the slot and pulls in a human as soon as the request falls outside its remit.
Evening and weekend enquiries no longer sleep until Monday morning.
What happens
- The customer writes — in text or a voice note, which gets transcribed
- The agent replies with the memory of the running conversation
- It checks free slots and books into the calendar
- The lead is logged, and a human is alerted when needed
The workflow
- WhatsApp Trigger
- Normalize Message
- Message Type
- Transcribe a recording
- Receptionist Agent
- Memory per Phone Number
- Check Availability
- Book Appointment
- Save Lead
- Notify Human
- Send Reply
Real nodes from the n8n export, in execution order. Nothing reconstructed for the website.