Connect Dental SaaS UI to n8n/Retell Backend

Customer: AI | Published: 03.01.2026

Title: Dental SaaS MVP Completion (Full-Stack): Connect Lovable UI to n8n/Retell Backend with Multi-Language Support Current Status: I have a Dental SaaS MVP (Curavox) that is 80% complete. The Frontend (Lovable/React) and Database (Supabase) are excellent. The Problem: The native Voice (ElevenLabs) and AI Triage integrations are broken. The Solution: Replace these with n8n Workflows integrated with Retell AI, Cal.com, and OpenAI for translation. What I Need (Ready-to-Use Deliverables): 1. Surgical Supabase Adjustments: Add fields to clinics table for dynamic configurations (retell_agent_id, calcom_slug, slack_webhook_url, preferred_language). Ensure appointments and communications tables accept incoming data from Retell/Cal.com. 2. Creation of 4 n8n Workflows (Production Ready): Triage Webhook: Receives JSON -> Slack alert -> Updates DB. Call Patient Webhook (Outbound): Receives patient_id -> Fetches data -> Triggers the correct language-specific Retell Agent. Call Analysis Webhook: Receives callback from Retell -> (See Step 5) -> Saves data to Lovable. Booking Webhook: Receives BOOKING_CREATED from Cal.com -> Creates appointment in DB. 3. Frontend Integration (Wiring): Locate functions calling old APIs in the Git Repo (e.g., makeCall). Replace with fetch requests to your new n8n Webhooks. Goal: Clicking "Call Patient" on the Dashboard triggers the flow immediately. 4. Simplified Onboarding: Provide a method to easily onboard a new clinic (SQL script or workflow) setting their Agent IDs and Language preferences. 5. Multi-Language & AI Translation Layer (Crucial): The system must support multiple languages (English, Portuguese, French, etc.). Translation Logic: In the Call Analysis Webhook, you must pipe the call transcript through an OpenAI (ChatGPT) node in n8n. Requirement: Regardless of the language the patient speaks, the system must translate the summary and action items into the Clinic's preferred language before saving to the Dashboard. Example: A patient speaks French. The AI translates the intent to the system's logic and saves the call summary in Portuguese (if that is the clinic's setting) so the staff can understand it. Stack Requirements: n8n (Logic & Automation). Supabase (PostgreSQL). Retell AI (Voice). OpenAI/ChatGPT (For translation and summarization in n8n). React/Typescript (Frontend adjustments). Resources Provided: GitHub Repo: https://github.com/Neurovision-Innovation/curavox-careflow.git Supabase Admin Access. Retell, Cal.com & OpenAI API Keys. Definition of "Ready to Use" (Done): I click "Call Patient" on the Dashboard. The Retell agent speaks the correct language. After the call, a translated summary and the appointment details appear automatically on the Dashboard calendar in the correct language.