Block 1 - Sticky Note1
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
AI secretary for scheduling with WhatsApp and Telegram ️ Community Disclaimer This workflow is community maintained and self hosted. It is not officially affiliated with or suppo...
n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.redis, n8n-nodes-base.code, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.googlecalendartool
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Thiago Vazzoler Loureiro.
Original n8n.io source> ⚠️ Community Disclaimer
> This workflow is community-maintained and self-hosted.
> It is not officially affiliated with or supported by n8n GmbH, OpenAI, or Google.
> Users are responsible for their own configuration, security, and data compliance (e.g., HIPAA, LGPD, GDPR).
> Always secure API keys and ensure compliance with your local privacy regulations.
This template deploys an AI-powered virtual medical secretary that automates appointment scheduling, rescheduling, and cancellations for clinics and healthcare professionals.
It seamlessly integrates OpenAI for natural language understanding, Google Calendar for real-time booking, and Evolution API (WhatsApp) or Telegram for patient communication.
Patients can chat naturally via WhatsApp or Telegram, receiving empathetic, professional, and human-like responses — while your calendar stays automatically synchronized in real time.
Managing appointments manually is time-consuming and error-prone, often requiring staff to handle repetitive tasks like checking availability, confirming times, or rescheduling.
Traditional systems lack conversational capabilities, forcing patients to call or text staff directly.
This template solves that by creating a conversational AI assistant that interacts with patients through familiar messaging channels, reducing administrative workload and ensuring accurate real-time scheduling through Google Calendar.
Obtain Required Credentials:
Configure n8n Environment:
Configure Node “Variables Config” & Update Nodes:
Customize the Conversation Flow:
Deploy and Test:
Ideal for:
This assistant ensures every patient request is handled naturally — while Google Calendar remains the single source of truth for scheduling.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 40 workflow blocks. Download the JSON for the full node graph.
| Workflow | AI secretary for scheduling with WhatsApp and Telegram |
|---|---|
| Complexity | advanced |
| Nodes | 40 |
| Categories | Support Chatbot, AI Chatbot |
| Author | Thiago Vazzoler Loureiro |
| Published | 02 Oct 2025 |
Use the JSON export at /data/workflows/9211/9211.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
AI secretary for scheduling with WhatsApp and Telegram ️ Community Disclaimer This workflow is community maintained and self hosted. It is not officially affiliated with or suppo...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.