PERSONAL PRODUCTIVITY

Daily Outlook Decision Digest to Confluence and Slack

Each evening, scans the day's Outlook approval and decision emails, compiles them into a dated decision-log page in Confluence, and posts a summary digest to a Slack channel.

CategoryPersonal Productivity
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily after-hours schedule
  • ActionFetch today's decision emails from OutlookOutlook
  • ActionSummarize each decision with OpenAIOpenAI
  • ActionAppend dated section to Confluence decision logConfluenceConfluence
  • OutputPost digest to Slack channelSlack

What it does

This workflow batches a full day of email decisions into one authoritative record. On a schedule, it pulls approval and decision emails from Outlook, summarizes each into a structured entry, appends a dated section to a Confluence decision-log page, and posts a digest to Slack so the team sees what was decided without scrolling inboxes.

When to use it

Use it when decisions accumulate across the day and a real-time per-email log would be noisy. Good for leadership teams and PMOs that want one consolidated daily record plus a lightweight channel ping.

How it works

  1. 1A daily schedule fires after business hours.
  2. 2The workflow queries Outlook for decision and approval emails received that day.
  3. 3An OpenAI step summarizes each into a uniform entry: topic, decision, owner, and next step.
  4. 4It appends a dated section to the Confluence decision-log page.
  5. 5It posts a compact digest of the day's decisions to a Slack channel with a link to the Confluence page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect OutlookMail, calendar, contacts.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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