Answer patient enquiries for a clinic by chat
I've built an AI agent workflow for a clinic in Pune using n8n. Task: I've built an AI agent workflow for a clinic in Pune using n8n. Here's how my automation works: → Patients send a message through the chat interface. → Google Gemini powers the AI agent. → Simple Memory helps maintain conversation context. → Google Sheets provides access to clinic information. →…; tools: n8n, Gemini. Human role: The original post does not say how a person stayed involved.; limitations: Source reliability is low as the original post is truncated and lacks execution details. Prerequisites include n8n, Google Gemini, and Google Sheets API access. Integration uncertainty exists regarding Simple Memory configuration. Human approval is mandatory for all actions to prevent unauthorized patient communications..
Tools
Published on Agent Work Atlas:
Overview
I've built an AI agent workflow for a clinic in Pune using n8n.
Workflow
I've built an AI agent workflow for a clinic in Pune using n8n. Here's how my automation works: → Patients send a message through the chat interface. → Google Gemini powers the AI agent. → Simple Memory helps maintain conversation context. → Google Sheets provides access to clinic information. →…
Reported result
No measured outcomes or success metrics are reported in the source. Proposed acceptance check: Verify that 100% of automated responses require explicit human approval before sending, and confirm that clinic data retrieved from Google Sheets matches the source of truth in a sample of 10 interactions.
Human role
The original post does not say how a person stayed involved.
Limitations
Source reliability is low as the original post is truncated and lacks execution details. Prerequisites include n8n, Google Gemini, and Google Sheets API access. Integration uncertainty exists regarding Simple Memory configuration. Human approval is mandatory for all actions to prevent unauthorized patient communications.
Try it
Act as an automation engineer. I need to set up a patient enquiry bot for a clinic using n8n. Inputs: - Clinic data source: [Replace with Google Sheet URL containing services, hours, and pricing] - AI Model: Google Gemini - Memory: Simple Memory node - Target users: [Replace with patient demographic description] - Output location: [Replace with chat platform, e.g., WhatsApp or Web Chat] Steps: 1. Create an n8n workflow triggered by incoming chat messages. 2. Configure a Google Gemini node to generate responses based on the message and context from Simple Memory. 3. Add a Google Sheets lookup node to fetch relevant clinic information. 4. Insert a Human Approval node before any message is sent or booking is created. 5. Perform a dry run with 3 sample queries: one general enquiry, one booking request, and one complex question. 6. Show me the generated draft responses and the data retrieved from Sheets. 7. Wait for my explicit confirmation before finalizing the workflow. Success Criteria: The bot must not send any message without human approval. Data accuracy must be verified against the provided Sheet. If inputs are missing, ask for the Google Sheet URL and chat platform details first.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.