AI & Automation
WhatsApp Enquiry Automation
A demonstration of WhatsApp enquiry handling: instant AI replies from approved content, automatic qualification, assignment with escalation, and follow-up until an outcome.
- Type
- Demo build
- Category
- AI & Automation
- Features
- 9 documented
- Stack
- 6 technologies
What the business was dealing with
A business receives most of its enquiries on WhatsApp, handled by one person between other work. Replies get slower as volume grows, follow-ups depend on scrolling back through chats, and the whole conversation history sits on a handset that leaves with the employee. Nobody can say how many enquiries arrived last month or what became of them.
How it was solved
An assistant on the official WhatsApp Business API replies within seconds, answering routine questions from approved business content and asking two or three qualifying questions. The enquiry becomes a record with source attribution, is assigned by service and location, and the owner is notified with a conversation summary and a one-tap call link. If no contact is logged within the agreed window, it escalates. Quiet conversations receive scheduled nudges that stop on reply.
Interface
Illustrative screens
These are abstract representations of the interface layout, drawn in CSS — not screenshots of a client system. They show structure rather than data.
Main features
- Official WhatsApp Business API with verified business profile
- AI replies grounded strictly in approved business content
- Structured lead capture with source and campaign attribution
- Assignment rules by service, location and round-robin
- Owner notification with conversation summary and call link
- Escalation when first contact is not logged in time
- Shared team inbox with assignment, tags and internal notes
- Follow-up sequences with reply detection and automatic stop
- Reporting: volume by source, first-response time, conversion, outcome
What this demonstrates
The engineering problems this project exists to show we can handle.
- Grounded AI replies with a designed handover to a human
- Response-time tracking with automatic escalation
- Compliant template messaging inside Meta's policy rules
- Attribution carried from first message through to outcome
Technology stack
- WhatsApp Business Cloud API
- Claude API
- Python with FastAPI
- PostgreSQL
- n8n
- Next.js
Services involved in this project
Want something like this for your business?
Your operational detail will differ — that is normally where the real work is. Tell us how your process runs and we will scope it honestly.