Block 1 - Input Arguments
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.3
This workflow is provided as-is. Please review and test before using in production.
Who is this template for? This template is ideal for small businesses, agencies, and solo professionals who want to automate appointment scheduling and caller follow up through a voice based AI rec...
n8n-nodes-base.set, n8n-nodes-base.itemlists, n8n-nodes-base.code, n8n-nodes-base.if, n8n-nodes-base.respondtowebhook, n8n-nodes-base.stickynote, n8n-nodes-base.webhook, n8n-nodes-base.googlecalendar
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by SuperAgent.
Original n8n.io sourceThis template is ideal for small businesses, agencies, and solo professionals who want to automate appointment scheduling and caller follow-up through a voice-based AI receptionist. If you’re using tools like Google Calendar, Airtable, and Vapi (Twilio), this setup is for you.
Manual call handling, appointment booking, and email coordination can be time-consuming and prone to errors. This workflow solves that by automating the receptionist role: answering calls, checking calendar availability, managing appointments, and storing call summaries—all without human intervention.
This Agent Receptionist manages inbound voice calls and scheduling tasks using Vapi and Google Calendar. It checks availability, books or updates calendar events, sends email confirmations, and logs call details into Airtable. The workflow includes built-in logic for slot management, email triggers, and storing call transcripts.
Duplicate Airtable Base: Use this Airtable base templateBASE LINK
Import Workflow: Load provided JSON into your n8n instance.
Credentials: Connect your Google Calendar and Airtable credentials in n8n.
Activate Workflow: Enable workflow to get live webhook URLs.
Vapi Configuration:
Paste provided system prompt into Vapi Assistant.
Link the appropriate webhook URLs from n8n (GetSlots, BookSlots, UpdateSlots, CancelSlots, and end-of-call report).
Disclaimer
Optimized for cloud-hosted n8n instances. Self-hosted users should verify webhook and credential setups.
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 92 workflow blocks. Download the JSON for the full node graph.
| Workflow | Automate call scheduling with Voice AI receptionist using Vapi, Google Calendar & Airtable |
|---|---|
| Complexity | advanced |
| Nodes | 92 |
| Categories | Support Chatbot, AI Chatbot |
| Author | SuperAgent |
| Published | 03 Apr 2025 |
Use the JSON export at /data/workflows/3427/3427.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.
Who is this template for? This template is ideal for small businesses, agencies, and solo professionals who want to automate appointment scheduling and caller follow up through a voice based AI rec...
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.