IT Helpdesk Chatbot Grounded in Your Confluence Wiki

Turns your existing Confluence IT knowledge base into a self-serve helpdesk chatbot. When an employee asks a question like "How do I set up the VPN on macOS?" or "What's the printer install process?", the workflow searches your Confluence spaces for the most relevant pages, feeds that content to an OpenAI model, and returns a concise, accurate answer with links back to the source pages. Because every reply is grounded in your actual wiki, it deflects routine tickets without inventing policy.

Use this when your IT team fields the same questions over and over and the answers already live in Confluence but nobody reads them. It's ideal for first-line deflection: onboarding setup, software access, password and MFA resets, VPN, equipment requests, and policy lookups. Deploy it as a chat endpoint behind Slack, an internal portal, or a help widget. If a question has no good wiki match, the bot says so and points the user to open a ticket instead of guessing.

The workflow triggers on an inbound chat message. It runs a Confluence content search (CQL) against your designated IT space(s) to pull the top-matching pages, then passes those page excerpts plus the user's question into an OpenAI chat completion with a system prompt that forbids answering outside the provided context. The model returns a grounded answer with citations, which is sent back to the chat session. Swap the trigger source or response sink without touching the retrieval-and-ground core.