CHATBOTS
HR Policy Q&A Bot in Teams (Confluence-grounded)
Answers employee HR policy questions inside Microsoft Teams by retrieving the relevant Confluence policy pages and generating a grounded, citation-backed reply.
How it runs
The automated pipeline, trigger to output.
- TriggerEmployee posts an HR question in TeamsMicrosoft Teams
- ActionSearch Confluence HR space and fetch matching policy pagesConfluence
- ActionGenerate grounded answer with citations via OpenAIOpenAI
- LogicBranch on whether a supporting policy page was found
- OutputReply in the Teams thread with answer and source linksMicrosoft Teams
What it does
Employees ask HR questions in a Microsoft Teams channel or DM and get an instant, grounded answer drawn from your published Confluence policy space. Every response cites the exact policy page it came from, so people can read the source themselves.
When to use it
Use this when your HR team fields the same handbook questions over and over — PTO accrual, remote-work rules, expense limits, parental leave — and you want self-service answers that stay faithful to the official policy rather than an LLM's best guess.
How it works
- 1An employee posts a question in the designated Teams channel, firing the message trigger.
- 2The flow searches your Confluence HR space for the most relevant policy pages and pulls their text.
- 3OpenAI generates an answer constrained to the retrieved page content, with inline citations.
- 4A logic check confirms at least one supporting page was found; if nothing matched, it routes to a fallback.
- 5The bot replies in the Teams thread with the answer plus links to the source Confluence pages, or a polite "ask HR directly" message when no policy covers the question.
Set it up
What you configure once, before turning it on.
- 1Connect Microsoft TeamsChannels, chats, files.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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