Automated Slack IT Helpdesk with GPT, Supabase Vector Search & JIRA

This workflow powers an intelligent Slack bot for IT helpdesk automation, handling user queries with thread-aware conversations. It leverages a RAG pipeline to process PDF/CSV documents into a Supabase vector database, enabling context-aware responses from your knowledge base and historical cases. When needed, it seamlessly creates, searches, and manages JIRA tickets, while users can trigger actions like escalation via emoji reactions.

Benefits include eliminating repetitive Level 1 support tasks, providing instant AI assistance, and ensuring structured ticket management. IT teams save hours on manual triage, reduce response times, and maintain audit trails through integrated tools, boosting efficiency and user satisfaction.

Ideal for IT support organizations, helpdesks in tech companies, or any team using Slack for internal support. Use cases: answering common queries from docs, auto-escalating complex issues to JIRA, searching past tickets via vectors, and scaling support without adding staff.

Requires Slack app setup, Supabase project, JIRA instance, and OpenAI key. Compatible with self-hosted n8n using community nodes.