In Rabat, perceived quality starts before the first consultation. A structured reply, a confirmed appointment and a human handover without repetition build trust. Forteuno Web designs that path around the clinic’s real rules.
We support six clinics per city so we can follow each installation closely during the pilot. No commitment. 
Forteuno Web serves clinics in Rabat remotely. This page describes a service area and does not represent an agency or physical office in Rabat.
This video is a simulation with fictional data. It illustrates the product’s language behaviour, not a real patient conversation.
In a large dental clinic in Casablanca, more than 100 WhatsApp conversations arrived each day. After a SOP analysis, a migration to the official API with coexistence, and qualification with human handover, fewer than nine conversations a day needed the team. The 24-hour suspensions observed before did not recur. This case took place in Casablanca; for Rabat, we adapt the method to each clinic’s real process and results can vary.
Read the full Casablanca case study →The agent can manage appointments, approved fees, validated explanations and practical information. It transfers emergencies according to the clinic’s procedure, requests for private documents, and any situation that needs a clinical decision. It does not diagnose, prescribe or replace health professionals.
We do not start by installing a generic chatbot. We first map requests, authorized information, qualification questions, medical limits and the clinic’s escalation rules. The agent is then tested on those scenarios until the team considers it respects its procedures. If SOPs do not exist and the practice does not want to help define them, we prefer not to deploy.
The capital combines general practices, specialist centres and patients who expect precise communication. Automation must answer administrative questions without replacing clinical judgment.
The first scope combines WhatsApp, calendar and confirmations. When an exchange needs medical judgment, the agent hands over with contact details, the reason, and what the patient already provided.
We compare several models on the same conversations. The model kept is the one that makes the fewest errors on the clinic’s task, not the one with the newest number.
Designed by Mohamed Amine Saada, Co-founder and AI Engineer at Forteuno Web.
Reply on WhatsApp Business, Instagram and Messenger without losing context.
Identify the reason, ask for useful information and transfer sensitive cases.
Offer an authorized slot, confirm the appointment and reduce no-shows.
See the source of requests, appointments obtained and files waiting for a follow-up.
Mohamed Amine Saada built a customer-support SaaS for dentists in Morocco. The first reflex was fine-tuning a local model. The best results finally came from few-shot examples written by real dental assistants, then injected by context. That experience guides Forteuno Web: start from real conversations, test, correct, and keep a human for clinical decisions.
Concrete answers on WhatsApp, appointments, languages and the safety of the patient path.
Forteuno Web works online with clinics in this city. This page does not present a local agency or physical address.