AI Appointment Booking Agent with n8n and Google Integrations

AI Appointment Booking Agent with n8n and Google IntegrationsAI Appointment Booking Agent with n8n and Google Integrations

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Tarang Zala

• 3h

AI-Powered Appointment Booking Agent | n8n Automation

Built an AI-powered appointment booking agent using n8n, Groq AI, Google Calendar, Google Sheets, and Gmail to automate appointment scheduling and customer communication.

Key Features:

AI-powered conversational appointment handling. Checks Google Calendar availability before scheduling. Automatically creates calendar events. Retrieves information from Google Sheets. Sends appointment confirmation emails through Gmail. Uses conversation memory to maintain context during interactions. Connects through webhooks for automated requests and responses.

Business Benefits:

Reduces manual appointment scheduling. Prevents unnecessary back-and-forth communication. Speeds up booking and confirmation. Helps businesses manage appointments more efficiently.

Technologies: n8n, Groq AI, Google Calendar, Google Sheets, Gmail, Webhooks, AI Agents.

AI Automation AI Chatbot Development Business Workflow Automation Claude N8N

Kingsley Ken

pro

• Oct 17

My first n8n template is now live in the official n8n library, and it is free to use.

After a sales call, most people either rush the follow-up email or forget it. This workflow does the first draft for you.

When Fireflies finishes transcribing a call, it:

pulls the full transcript

uses OpenAI to write call notes: a summary, open questions, the next step and the outcome

saves a follow-up email to the contact as a Gmail draft

logs the call in Google Sheets and emails you the notes

Nothing is sent to the contact automatically. The follow-up waits in your drafts until you check it and press send.

Works with the free Fireflies plan and n8n Cloud.

Get it here: https://n8n.io/workflows/20963

N8N AI Automation n8nautomation

Zakaria MAMOUMI

pro

• Oct 18

Congrats on getting it approved. Drafting instead of auto-sending is the right default. One edge case worth a guard: calls where the transcript comes back empty or cut short, otherwise the model writes a confident follow-up from almost nothing.