IT OPS

Extract details from emailed forms and create structured ClickUp tasks

Pulls attachments and body text from shared-mailbox requests, uses an LLM to extract structured fields, archives the files to Google Drive.

CategoryIT Ops
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew email with attachments in shared mailboxOutlook
  • ActionArchive attachments to Google DriveGoogle DriveGoogle Drive
  • ActionExtract structured fields with OpenAIOpenAI
  • LogicValidate required fields present
  • OutputCreate ClickUp task with mapped custom fieldsClickUpClickUp

What it does

Many requests arrive as a form, screenshot, or PDF attached to an email. This workflow extracts the structured fields (requester, asset tag, cost center, request type) from the body and attachments, stores the original files, and opens a ClickUp task with those fields filled into custom fields rather than buried in free text.

When to use it

Use it for intake processes that depend on structured data: hardware requests, onboarding forms, access approvals. Good when reviewers waste time copying fields out of email into your ticketing tool.

How it works

  1. 1A new email with attachments arrives in the Outlook shared mailbox.
  2. 2Attachments are saved to a dated folder in Google Drive and the body is collected.
  3. 3OpenAI extracts the defined fields into a structured object.
  4. 4A logic step validates required fields are present and flags incomplete submissions.
  5. 5A ClickUp task is created with the extracted values mapped to custom fields and the Drive folder linked.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect OutlookMail, calendar, contacts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Google DriveDocs, sheets, slides, files.
  4. 4
    Connect ClickUpDocs + tasks + chats in one workspace.
  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.

Run this workflow in your colony.

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