CHATBOTS
Weekly HR Policy Change Digest from Confluence to Teams
Every week, finds Confluence HR pages edited in the last 7 days, uses OpenAI to summarize what changed in plain language.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionFetch Confluence HR pages edited in the last 7 daysConfluence
- LogicFilter out trivial edits below change threshold
- ActionSummarize each meaningful change via OpenAIOpenAI
- OutputPost the assembled change digest to the Teams channelMicrosoft Teams
What it does
Turns silent Confluence edits into a readable weekly briefing. It collects every HR page changed in the past week, summarizes the substance of each change, and delivers one clean digest to Teams — so employees learn about new policies without reading raw page history.
When to use it
When HR updates Confluence regularly but no one notices, leading to people following outdated rules. Ideal for distributed teams who rely on async communication for policy awareness.
How it works
- 1A weekly schedule starts the digest run.
- 2The Confluence HR space is queried for pages modified in the last 7 days.
- 3A logic step filters out trivial edits (typos, formatting) below a change threshold.
- 4For each meaningful change, OpenAI summarizes what changed and why it matters to employees.
- 5The summaries are assembled into a single digest and posted to the all-company Teams channel with links to each updated page.
Set it up
What you configure once, before turning it on.
- 1Connect ConfluenceSpaces, pages, blueprints.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Microsoft TeamsChannels, chats, 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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