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AI Customer Service

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.

The result

Immediate answers for routine requests. A clean handoff for everything else.

Product walkthrough: AI Customer Service
Download MP4

English on-screen text. Fictional demonstration, not a live customer system. Music and sound effects. Starts muted.

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.

  1. A message arrives

  2. The answer is checked

  3. A person steps in when needed

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.

Demo

Choose a customer message. Review a routine reply or see how a complaint is handed to a person.

Interactive example · sample data

FICTIONAL BUSINESS · SAMPLE INBOX

One message. The right next step.

Scripted examples, not live AI or WhatsApp. No real messages, bookings or refunds. Changing example or mode resets this conversation.

Operating mode
Harbour HouseCustomer view · sample chat

The customer sees the conversation, not your staff controls.

Customer

What time are you open on Saturday?

No reply yet. Process the example to see the next step.

New enquiry

Review the incoming message

Try the message in draft-first mode, then compare it with approved FAQ automation. Exceptions still go to staff in both modes.

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.

Discuss this solution