Dental Clinic Assistantv1.0.0

Patients initiate scheduling via WhatsApp using trigger words like 'schedule' or 'agendar'. The assistant guides them through selecting a service, choosing a date/time, and providing basic contact info, then confirms and integrates with Google Calendar for reminders. It avoids collecting sensitive health data, ensuring compliance.

The assistant automatically detects and responds in English or Portuguese based on patient messages, handling common queries about clinic hours, location, insurance, and services without human intervention. It loads answers from a configuration file for consistency and efficiency.

The system sends automated reminders 24 hours and 2 hours before appointments via WhatsApp, including details like service, time, and address. Patients can reply to reschedule or cancel, triggering a flow where the assistant identifies the appointment and updates it with new preferences.

When the assistant cannot resolve a patient query after two attempts, it initiates a handoff by notifying clinic staff via an alert channel and informing the patient. This ensures urgent or sensitive matters are escalated appropriately while maintaining a professional tone.

Outside business hours, the assistant still responds to messages, setting expectations by informing patients that the clinic is closed and their request will be followed up during open hours. This maintains 24/7 availability without overpromising immediate human support.

Dental clinics pay a monthly or annual fee to access the AI assistant, which includes features like automated scheduling, reminders, and bilingual support. Revenue is generated through tiered pricing based on clinic size or usage volume, ensuring predictable income.

Clinics are charged per interaction, such as each appointment scheduled or reminder sent via WhatsApp. This model suits smaller practices with lower message volumes, allowing them to scale costs with patient engagement without upfront commitments.

The skill package is licensed to dental software providers or large clinic chains for integration into their existing platforms. Revenue comes from one-time licensing fees or royalties based on user adoption, leveraging existing customer bases for broader distribution.