Multi-Agent Healthcare AI Assistant: WhatsApp, GPT-4 & Sheets

This workflow demonstrates n8n's multi-agent AI orchestration for a healthcare assistant chatbot on WhatsApp. It includes a main orchestrator agent that routes conversations to specialized agents: Patient Registration for data collection, Appointment Scheduler for bookings, Medical Report Analyzer for document processing, and Prescription Medicine Analyzer for safety checks. Multi-modal inputs (text, audio, images, documents) are processed seamlessly—audio is transcribed, images analyzed via vision models, and PDFs extracted—ensuring comprehensive handling.

Key benefits include intelligent agent coordination, context-aware routing, session-based memory for persistent conversations, and integrations with WhatsApp for messaging, GPT-4 for advanced AI reasoning, and Google Sheets for data storage. Error handling and state management enable robust, multi-step interactions, saving significant development time for complex AI systems.

Ideal use cases: Educational demos for AI workflow design, prototyping healthcare chatbots, customer service automation in telehealth, or adapting for non-medical engagement bots. Note: Strictly for demonstration; not for production medical advice.