Handling High Message Volume
Managing multiple WhatsApp queries efficiently.
- Added LLM-driven message classification logic.
- Implemented Switch Node to direct each request.
- Automated replies for faster employee response.
This workflow transforms WhatsApp into an intelligent HR assistant powered by LLM and automation. It captures incoming messages, classifies them by intent, and routes them to specialized agents for leave, attendance, FAQs, complaints, and hiring tasks. Integrated with Google Sheets, Calendar, and policy embeddings, it automates routine HR actions and delivers clear, interactive responses directly on WhatsApp for faster, reliable employee support.

Platform / n8n
Project / Whatsapp HR Assistant
Category / AI Agent
Design By / LeadsNite
Completed / Sep 2025

Built using modern, scalable technologies
Real startup problems:solved with design, code, and data.
Managing multiple WhatsApp queries efficiently.
HR queries vary in tone and structure.
Manual handling caused time and communication gaps.
Employees lacked quick access to policy details.
Hard to extend system to new HR functions.



