The Problem
Every patient question needs a staff member — until it doesn't.
Clinics get a steady stream of WhatsApp questions about procedures, pricing, and what to expect — often from patients who speak different languages. Answering each one manually takes staff time, responses vary depending on who's answering, and if no one's available immediately, an interested patient simply doesn't get a reply in time.
There's also a risk in letting a generic chatbot loose on medical questions: without being grounded strictly in the clinic's own information, a bot can drift into vague or inaccurate answers, or push services the patient didn't ask about — which is the last thing a healthcare practice wants.
The Solution
An AI agent that only speaks the clinic's own facts — in any language.
We built a WhatsApp AI agent connected directly to the clinic's website widget, configured to answer strictly from the clinic's own reference material, match whichever language the patient writes in, and recognize the right moment to offer a booking.
One click from website to WhatsApp
A widget on the clinic's website takes visitors straight into a WhatsApp conversation — no forms, no separate app.
Understands any language
The agent reads the patient's message in whatever language they use — Spanish, English, or others — and replies fluently in that same language.
Grounded strictly in clinic facts
Answers are generated only from a reference document attached to the agent, with instructions to stay on topic, keep replies concise, and avoid exaggerating or pushing services the patient didn't ask about.
Recognizes booking intent
When the conversation shows a patient is genuinely interested in a procedure, the agent proactively offers to schedule a slot rather than waiting to be asked.
Extensible to real actions
Beyond just answering, the same agent can be connected to push appointments into a calendar, notify staff on Slack, or send follow-up documents — configurable per clinic.
The Result
Instant, accurate answers, with no staff bottleneck.
Figures reflect typical outcomes for clinics running this system; exact results vary by patient volume and configuration.
