HR IT Helpdesk Chatbot Automation
For the HR & IT Helpdesk Chatbot, automate employee support by integrating a chatbot with audio transcription capabilities. This workflow extracts internal policy documents, creates a vector store for accurate responses, and processes text and voice messages via Telegram. It enhances employee interaction by providing quick, accurate answers to HR and IT queries, ensuring a seamless support experience.
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Workflow Overview
For the HR & IT Helpdesk Chatbot, automate employee support by integrating a chatbot with audio transcription capabilities. This workflow extracts internal policy documents, creates a vector store for accurate responses, and processes text and voice messages via Telegram. It enhances employee interaction by providing quick, accurate answers to HR and IT queries, ensuring a seamless support experience.
Target Audience
- HR Professionals: Those looking to automate responses to employee queries regarding policies, leave, and other HR-related topics.
- IT Support Staff: Individuals needing a quick and efficient way to handle technical inquiries and troubleshooting requests.
- Organizations: Companies that want to enhance their internal communication and support systems through automation.
- Developers: Tech-savvy individuals interested in integrating AI and automation into existing workflows.
Problem Solved
This workflow addresses the challenge of efficiently managing HR and IT inquiries by providing an automated helpdesk solution. It enables organizations to:
- Quickly respond to employee questions about policies and procedures.
- Handle both text and voice messages, ensuring comprehensive support.
- Utilize a vector store to retrieve accurate information, improving response quality and speed.
Workflow Steps
- Manual Trigger: The workflow starts when the user clicks ‘Test workflow’.
- Fetch Internal Policy Documents: An HTTP Request node retrieves the employee handbook PDF from a specified URL.
- Extract Text: The Extract from File node parses the PDF to extract text content.
- Create Vector Store: The extracted text is transformed into vector embeddings and stored in a PostgreSQL database for efficient retrieval.
- Telegram Integration: A Telegram Trigger listens for incoming messages, handling both text and audio inputs.
- Message Type Verification: The workflow checks if the incoming message is text or audio, directing the flow accordingly.
- Audio Transcription: If an audio message is received, it is transcribed into text using OpenAI’s transcription service.
- AI Agent Processing: The transcribed text or original text message is sent to an AI agent for processing.
- Response Generation: The AI agent retrieves relevant information from the vector store and formulates a response.
- Send Response: The final answer is sent back to the user via the Telegram chat.