This workflow automates the process of handling IT helpdesk requests via Slack, integrating AI-driven insights, document ingestion, and ticket management. When users mention the helpdesk bot in Slack, the system captures the message, searches a knowledge base stored in Supabase through vector embeddings, and leverages AI to analyze issues and suggest solutions. If necessary, it automatically creates or updates JIRA tickets, checks their status, and adjusts priorities, ensuring efficient and intelligent support. The workflow supports document uploads (CSV/PDF) through a form trigger, converting uploaded files into vectors stored in Supabase for quick retrieval. It also uses an MCP server for seamless integration of multiple external tools, enabling scalable and centralized operations. This setup is ideal for organizations seeking a smart, automated helpdesk that provides instant contextual assistance, maintains conversation history, and streamlines ticketing and knowledge management.
AI-Enhanced Helpdesk Workflow Integrating Slack, JIRA, and Supabase
Node Count | >20 Nodes |
---|---|
Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.mcpClientTool, @n8n/n8n-nodes-langchain.mcpTrigger, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, formTrigger, if, jiraTool, set, slack, slackTrigger, stickyNote |
Reviews
There are no reviews yet.