How it works
How it works This workflow automates the complete employee leave approval process from submission to final resolution. Employees submit leave requests through a form, which are summarized professionally using AI and sent for approval via email. The workflow waits for the approver’s response and then either sends an approval confirmation or schedules a clarification discussion automatically. All communication is handled consistently with no manual follow-ups required. Step-by-step Step 1: Capture leave request, generate summary, and request approval** On form submission – Captures employee details, leave dates, reason, and task handover information. AI Agent – Generates a professional, manager-ready summary of the leave request. OpenAI Chat Model – Provides the language model used to generate the summary. Structured Output Parser – Extracts the email subject and HTML body from the AI response. Send message and wait for response – Emails the summary to the approver and pauses the workflow until approval or rejection. If – Routes the workflow based on the approval decision. Step 2: Notify employee or schedule discussion automatically** Approved path Send a message – Sends an official leave approval email to the employee. Clarification or rejection path Booking Agent – Determines the next business day and finds the first available 10-minute slot. OpenAI – Applies scheduling logic to select the earliest valid slot. Get Events – Fetches existing calendar events to avoid conflicts. Check Availability – Confirms free time within working hours. Output Parser – Extracts the final meeting start time. Send a message1 – Emails the employee with the scheduled discussion details. Why use this? Eliminate manual approval follow-ups and email back-and-forth Ensure consistent, professional communication for every leave request Automatically handle both approvals and clarification scenarios Reduce manager effort with AI-generated summaries Schedule discussions without manual calendar coordination. An n8n automation workflow template by Avkash Kakdiya.
Avkash Kakdiya
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