CareLine WhatsApp
Clinic WhatsApp inquiries turned into ready-to-act staff handoffs
A healthcare clinic receiving patient inquiries over WhatsApp.
Reception reads every WhatsApp thread to work out what the patient wants.
The same service and location questions arrive all day.
Contact details and appointment preferences get lost in long chats.
Approved answers for routine questions
Replies to non-clinical questions about services, locations, availability, and preparation.
Structured intake
Captures contact details, the reason for the inquiry, and preferred appointment or callback times.
Routing with a clear reason
Sensitive, uncertain, or out-of-policy messages go to staff with a summary, the captured fields, and a handoff reason.
Secure WhatsApp connection
Meta WhatsApp webhooks with HMAC signature checking and replies through the Graph API.
Booking boundary kept explicit
A requested time stays a request until the scheduling workflow accepts it, so no slot is confirmed by mistake.
Every inquiry reaches staff as structured intake with a defined next action.
Routine non-clinical questions answered without waiting for reception.
Clinical decisions always stay with clinic staff.
Full conversation context retained so staff pick up exactly where the chat left off.
OpenAI. Writes short, channel-appropriate replies, with a fallback path if the model service is unavailable.
Next.js, React, TypeScript
Webhook handlers, Transcript handling
OpenAI reply generation
Meta WhatsApp Graph API, HMAC webhook signature validation
Your front desk spends hours answering the same messages.
Patient or customer requests arrive in chat threads rather than forms.
You need AI to handle routine questions but hand anything sensitive to a person.
Book afree call.
One call about one workflow. We talk through the scope, the timeline and the quote, then you decide.