DOCUMENT OPS
Low-confidence scanned form review routing to Slack
Extracts fields from scanned forms in Dropbox and, when any field is too uncertain, posts a Slack message with the document link and the questionable values so a reviewer can…
How it runs
The automated pipeline, trigger to output.
- TriggerNew scanned form in DropboxDropbox
- ActionDownload form file from DropboxDropbox
- ActionExtract fields with confidence via Hugging FaceHugging Face
- LogicFlag fields below review confidence threshold
- ActionSave confirmed record to AirtableAirtable
- OutputPost low-confidence fields to Slack review channelSlack
What it does
This workflow runs every scanned form through field extraction and acts as a triage layer: when the model is confident it records the form to Airtable, and when it is not it sends a Slack alert to the review channel with the exact low-confidence fields and a link back to the original scan.
When to use it
Use it when extraction accuracy matters and you want your team notified in real time about the specific forms that need a human eye, rather than discovering errors later in a spreadsheet.
How it works
- 1A new scanned form in Dropbox starts the run.
- 2The file is downloaded from Dropbox.
- 3A Hugging Face model extracts the fields with confidence scores.
- 4A logic step flags any field scoring below the review threshold.
- 5If all fields are clean, the record is saved to Airtable as confirmed.
- 6If any field is flagged, a Slack message is posted to the review channel listing the uncertain fields, their extracted values, and the Dropbox link for correction.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect AirtableBases, tables, views, automations.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Document Ops workflows
Flag redline deviations when a contract lands in Drive
Watches a Google Drive folder for incoming counterparty contracts, diffs each clause against your approved template library.
Gate contract signing on clause-deviation approval
When a contract is submitted for signature via webhook, diffs its clauses against approved templates and either auto-approves clean documents or holds them in Slack for explicit…
Triage emailed contract redlines and route by risk
When a counterparty emails a redlined contract, extracts the attachment, diffs clauses against approved templates.
Draft a negotiation brief from contract clause deviations
An agent reviews a contract against approved templates, researches each deviation.
Log contract clause deviations to a Notion review register
On a daily schedule, scans a Drive contracts folder, diffs clauses against approved templates with OpenAI.
Weekly audit of clause drift across the contract repository
Each week, scans all executed contracts in Drive, measures how far each clause has drifted from approved templates.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.