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HR & IT Helpdesk Chatbot with Audio Transcription

An intelligent chatbot that assists employees by answering common HR or IT questions, supporting both text and audio me…

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Open / InstallLast updated July 27, 2026

Description

An intelligent chatbot that assists employees by answering common HR or IT questions, supporting both text and audio messages. This unique feature ensures employees can conveniently ask questions via voice messages, which are transcribed and processed just like text queries. How It Works Message Capture: When an employee sends a message to the chatbot in WhatsApp or Telegram (text or audio), the chatbot captures the input. Audio Transcription: For audio messages, the chatbot transcribes the content into text using an AI-powered transcription service (e.g., Whisper, Google Cloud Speech-to-Text). Query Processing: The transcribed text (or directly entered text) is sent to an AI service (e.g., OpenAI) to generate embeddings. These embeddings are used to search a vector database (e.g., Supabase or Qdrant) containing the company’s internal HR and IT documentation. The most relevant data is retrieved and sent back to the AI service to compose a concise and helpful response. Response Delivery: The chatbot sends the final response back to the employee, whether the input was text or audio. Set Up Steps Estimated Time**: 20–25 minutes Prerequisites**: Create an account with an AI provider (e.g., OpenAI). Connect WhatsApp or Telegram credentials in n8n. Set up a transcription service (e.g., Whisper or Google Cloud Speech-to-Text). Configure a vector database (e.g., Supabase or Qdrant) and add your internal HR and IT documentation. Import the workflow template into n8n and update environment variables for your credentials. An n8n automation workflow template by Felipe Braga.

Author

Felipe Braga

Platform

web

Pricing model

free

Categories

Automation
AI

Tags

n8n
workflow
http-request
telegram
ai-agent
embeddings-openai
openai-chat-model
recursive-character-text-splitter
default-data-loader
openai

Capabilities

  • 11 nodes
  • 35,685 views