The pain
Staff spend their day confirming availability, repeating pricing information, and walking customers through the same booking steps, while serious enquiries wait in the same queue.
AI Customer Service
Customers keep using the channel they already know. The system handles approved routine questions and brings your team into conversations that need judgement.
Try the workspaceThe result
Immediate answers for routine requests. A clean handoff for everything else.
How it works
The system is set up with your specific service information: what you offer, your pricing, your booking process, and your policies. It answers routine questions from this approved content only, across every channel, at any hour. When a question requires human judgement, the team member receives the full conversation already gathered, with context, not just a raw message to interpret from scratch.
A message arrives
One conversation, captured with context
The answer is checked
Reply, reviewed draft or clear escalation
A person steps in when needed
Human judgement without rebuilding context
Scope, savings and a working example
A working example
23:14. A potential client sends a WhatsApp asking about Monday availability. Nobody sees it until 9am. By then, they've booked with a competitor.
Most incoming messages are routine: availability, pricing, booking steps, status updates. These take the same time to answer as the serious ones. Outside working hours, nothing gets answered. When an important enquiry finally reaches the right person, the context is scattered across different chats and the customer has already decided.
Savings to measure
- Faster first response, including outside working hours
- Fewer repetitive messages for staff to handle manually
- More complete and organised incoming enquiries
Automation coverage is defined from real conversation history and approved by you before launch. We don't automate what shouldn't be automated.
What the system handles
- Answer approved FAQs and availability queries
- Collect contact and booking details
- Classify topics and urgency level
What your team controls
- Review suggested replies to unusual questions
- Handle complaints and sensitive topics
- Approve prices, exceptions, and commitments
Best fit: Hospitality · Clinics · Education · Property · Retail
Reference: customer-service pilot for a business in the services sector in Jakarta. AI receptionist responds across channels: WhatsApp, web, and voice.
Try the workspace
Choose a customer message. Review a routine reply or see how a complaint is handed to a person.
Sample data
FableLabsDemo workspace
Harbour House
Customer inbox
Sample data
Opening hours
Customer · WhatsAppWhat time are you open on Saturday?
Reply assistant
Process the example to see the next step.
About this example
Scripted examples, not live AI or WhatsApp. No real messages, bookings or refunds. Changing example or mode resets this conversation.
How would this work for your business?
Tell us about your current process. We’ll map the right setup around your tools and agree on a focused pilot.
A closer look
Review a suggested reply or hand the conversation to a teammate with its context.
Try the interactive demoProduct walkthrough
Sample data
English interface. Recorded from this working prototype with fictional data. No live business connections. Silent walkthrough.