Automated Monthly Sick Leave and Vacation Summary
This workflow automates the statistics of employee sick leave and vacation days, regularly extracting absentee information from Google Calendar, intelligently categorizing it, and calculating the number of absentee days for each employee. The generated summary report is promptly sent to the payroll department, ensuring data accuracy and efficient transmission, reducing manual intervention and the likelihood of errors, and enhancing the efficiency and precision of the company's human resource management.
Tags
Workflow Name
Automated Monthly Sick Leave and Vacation Summary
Key Features and Highlights
This workflow automatically retrieves employee absence events from Google Calendar for the previous month, intelligently distinguishes between sick leave and vacation types, calculates the total absence days for each employee, and generates a detailed summary report. The report is then sent on a scheduled basis to the payroll department’s email. By automating the process, it significantly improves the efficiency and accuracy of absence data aggregation.
Core Problems Addressed
- Manual compilation of employee sick leave and vacation data is time-consuming and prone to errors
- Lack of unified absence data aggregation and classification
- Absence information is not conveyed to the payroll department in a timely and accurate manner
Application Scenarios
- Regular employee absence tracking by HR departments
- Providing accurate sick leave and vacation data to payroll teams for salary calculation
- Medium to large organizations seeking to automate office workflows and reduce manual intervention
Main Process Steps
- Scheduled Trigger: Workflow automatically starts at 8:00 AM on the 1st of each month.
- Calculate Time Range: Determine the start and end dates of the previous month.
- Data Retrieval: Pull all events within the specified period from Google Calendar.
- Event Classification: Categorize events as “Sick Leave” or “Vacation” based on event summary content.
- Data Filtering and Calculation: Compute total sick leave and vacation days for each employee separately.
- Data Aggregation: Consolidate absence records for all employees.
- Generate Summary Report: Create a detailed text report listing employee names alongside their respective absence days.
- Send Email: Deliver the generated report via email to the payroll team.
Systems or Services Involved
- Google Calendar (to retrieve absence event data)
- SMTP Email Service (to send absence summary reports)
- Built-in n8n Nodes (Cron scheduler, date/time calculations, conditional logic, data processing, code execution, email sending, etc.)
Target Users and Value
- HR Managers: Automate employee absence tracking to reduce workload
- Payroll and Finance Teams: Obtain accurate and timely absence data to ensure correct salary calculations
- Business Leaders: Enhance operational efficiency and minimize human errors
- Any organization using Google Calendar to record employee leave
This workflow integrates automated processes and intelligent classification to achieve precise statistics and reporting of employee leave data, facilitating digital transformation in human resource management.
HR & IT Helpdesk Chatbot with Audio Transcription
This workflow provides an intelligent chatbot that integrates audio transcription and policy document analysis functions, aimed at helping corporate HR and IT departments improve service efficiency. It automatically downloads and analyzes internal policies, builds a knowledge base, and supports receiving text and voice messages via Telegram. Utilizing AI for intelligent Q&A, it also features contextual memory to ensure coherence in multi-turn conversations. This solution enhances the convenience for employees in accessing information and alleviates the pressure on human customer service representatives.
HR-Focused Automation Pipeline with AI
This workflow automates the collection and screening of resumes in the recruitment process. It utilizes AI technology to accurately extract candidates' educational backgrounds, work experiences, and skills, and provides intelligent scoring based on recruitment needs. Ultimately, all candidate information is integrated and stored in Google Sheets, significantly improving recruitment efficiency and accuracy. Through end-to-end automation, it reduces the time and errors associated with manual screening, offering HR professionals and businesses an efficient and systematic candidate management solution.
HN Who is Hiring Scrape
This workflow automatically scrapes the latest job-related posts from the Hacker News forum, filters relevant information using the Algolia Search API, and retrieves detailed content through the official Hacker News API. It utilizes the OpenAI GPT-4o-mini model to clean and structure the text, ultimately storing the organized job information in an Airtable database for easier management and future use. This process achieves automated collection and structured storage of job information, enhancing data usability and retrieval efficiency.
Resume Screener from Gmail to Sheets (Automated Resume Screening Workflow)
This workflow automates the process of retrieving new emails with attachments from Gmail, extracting text from resume PDFs, using AI for intelligent analysis to score the resumes, and extracting key information about candidates. Finally, it organizes the results and inputs them into Google Sheets. By automating these processes, it significantly enhances recruitment efficiency, reduces manual operations, and optimizes data management, making it suitable for recruitment teams and HR departments, while improving the accuracy and convenience of resume screening.
Manual Humanticai Create Webhook
This workflow primarily enables users to create, update, and retrieve profiles on the Humantic AI platform. Users can automate the extraction of information from LinkedIn, upload resumes, and generate personalized recruitment profiles through a simple manual trigger, significantly improving the efficiency and accuracy of profile management. This process is particularly suitable for recruitment teams, human resources departments, and individual career developers, addressing the challenge of updating user information in talent recruitment and management, and ensuring that profile information remains current and aligned with recruitment needs.
Automated Resume Intelligent Extraction and PDF Generation Workflow
This workflow receives user-uploaded resume PDFs via Telegram, automatically extracts key information, and utilizes AI models for structured parsing to generate uniformly formatted PDF resumes. It supports efficient multi-dimensional data classification and display, automatically formats output, reduces manual intervention, and improves resume processing efficiency. It is suitable for human resources, recruitment platforms, job seekers, and educational institutions, enabling rapid generation and management of resumes.
AI CV Screening Workflow
This workflow automates the resume screening and evaluation process by utilizing AI models to deeply analyze candidate profiles and generate matching scores. The system can automatically send email notifications to candidates and HR, while also storing candidate information and scores in a database to ensure centralized management of information. This process significantly reduces the manual workload for HR, enhances the objectivity of evaluations, and facilitates real-time communication between candidates and HR, optimizing recruitment decisions and efficiency.
Intelligent Recruitment Candidate Screening Automation Workflow
This intelligent recruitment candidate screening automation workflow utilizes ERPNext and advanced AI technology to achieve full-process management of resume parsing, job matching analysis, and hiring notifications. Through quantitative scoring and detailed assessments, this workflow significantly enhances the efficiency of resume screening and reduces the subjectivity of manual reviews. Additionally, it supports multiple file formats and automatically notifies candidates of hiring results via email and WhatsApp, optimizing the recruitment process and improving the efficiency of human resource management in the enterprise.