Jerviston

Product demo and system build note

Dental AI Receptionist for Malaysian Clinics

This is a documented product demo and system case study—not a client-results claim. It shows a WhatsApp-first concept for administrative dental enquiries, appointment requests and a mandatory handoff to clinic staff for clinical or uncertain questions.

The verified public demo is hosted separately as Borneo AI Studio.

Challenge the system is designed to address

Dental clinics can receive repeated administrative enquiries about appointments, services, availability and common clinic information. The product concept gives a first-response layer for those repeatable requests while preserving a staff handoff for everything that requires judgement or clinic-specific confirmation.

This description does not claim a clinic achieved a response-time, booking or revenue result. It explains the problem the product was designed to handle.

System concept

  1. Incoming WhatsApp enquiry
  2. AI receptionist using approved clinic knowledge
  3. Administrative FAQ response or information collection
  4. Appointment request workflow where configuration permits
  5. Human handoff for emergencies, clinical advice, complaints, uncertainty or an explicit request for staff
  6. Calendar or CRM handoff only where the approved integration is configured

Documented capabilities

The accompanying MVP documentation describes a WhatsApp-first receptionist for administrative tasks. Its stated scope includes the following capabilities and boundaries.

First response

Handle administrative enquiries from an approved clinic knowledge source.

Appointment requests

Support booking, rescheduling and cancellation flows when the required calendar configuration is available.

Information capture

Collect only the details needed for scheduling and the next administrative step.

Human escalation

Route emergencies, complaints, uncertainty and requests for a person to clinic staff.

Workflow integration

Use a documented n8n-based structure with the relevant WhatsApp and calendar configuration.

Controlled knowledge

Keep responses within approved administrative clinic information rather than generating clinical advice.

Human oversight and clinical safety

The product should not independently diagnose a medical condition, prescribe medication, recommend treatment or replace professional clinical advice. Clinical questions that need professional judgement must be escalated to clinic staff.

The implementation notes also set a data boundary: collect only what scheduling requires and avoid putting symptoms, medical history or other detailed clinical information into routine workflow logs.

This is an administrative receptionist concept. It is not a clinical decision-support system.

Architecture and demo

The repository documents an n8n workflow structure with a WhatsApp Business Cloud account, an AI provider, a dedicated Google Calendar and clinic-specific configuration as required implementation inputs. The source describes this as a proposed product build, so it does not claim a clinic deployment or business outcome.

The verified public demo is available at Borneo AI Studio. It is a live demonstration page, not evidence of a named clinic client.

See how the dental demo fits inside the wider automation and customer-conversation pages.