Run Data Entry on monday — AI Agent
Already on monday? Add a DeskFerry agent for Data Entry and save hours every week without writing code.
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Meeting notes
- • Vendor: Riverline Co. · Term: 12 months from Apr 1.
- • Total contract value: $42,000 net 30.
- • Signed by: Theo Park (CEO, Riverline) + Daniel R. (DeskFerry).
How does monday work for Data Entry automation?
monday works for Data Entry automation by powering a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
The agent connects to monday alongside the other apps your team already uses, watches for the triggers that matter for Data Entry, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Read every PDF that lands in our AP @Drive folder
AI extracts, validates, and enters data from documents, emails, and forms automatically.
- 03
Extract the structured fields
Teams typically see high across mixed document formats once the agent is in production.
- 04
Append a row to @Sheets
You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
- 05
You approve
Anything under your confidence bar waits for a human.
How you tell it what to do
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read every PDF that lands in our AP @Drive folder
- 2Extract the structured fields
- 3Append a row to @Sheets
How it connects
Connect monday. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect monday with one click, and data entry runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- mondayConnect
- Google DriveConnect
- Google SheetsConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What monday + DeskFerry can do
Real monday actions your AI agent can perform automatically — no manual work required.
Add users to board
Adds users to a monday.com board with a specified role.
Archive board
Archives a specified, existing, and unarchived board in monday.com; archived boards can typically be restored later.
Archive item
Archives an existing monday.com item, moving it from active board views to the archive where it can be potentially restored.
Change simple column value
Changes a specific column's value for a monday.com item using a simple string, suitable for text, status, or dropdown columns; can create new labels if `create labels if missing` is true for status/dropdown columns.
Create a Monday board
Creates a monday.com board; `template id` if used must be accessible, and `folder id` must be in `workspace id` if both are provided.
Create column
Creates a new column with a specified type and title on a monday.com board.
Create group
Creates a new group with the given `group name` on an existing monday.com board, identified by its `board id`.
Create item
Creates a new item on a monday.com board, optionally assigning it to a group and setting column values.
Delete column
Deletes a specified column from a monday.com board; this action is destructive and cannot be undone via the api.
Delete group
Permanently deletes an existing group (and its items) from an existing board in monday.com.
Vendor: Riverline Co. · Term: 12 months from Apr 1.
Fields extracted and validated; assignee notified in Slack.
Held for review — one value fell under your confidence bar.
Human in the loop
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Governance
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Sheets · Vendor agreements with the result.
- Agent2:46 PM
Applied your rule and recorded the result.
Reason: All required fields matched with high confidence.
- Agent2:45 PM
Wrote the record for PDF · Vendor agreement · Riverline.pdf.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
How it works
Get started in three steps
Step 01
Connect monday
Link monday to DeskFerry in one click. Your tasks, projects, and documents sync automatically.
Step 02
Set Up Workspace Automation
Define triggers in monday — new tasks, status changes, due dates — and the AI actions that follow.
Step 03
Work Smarter, Not Harder
Your AI agent keeps monday organized while you focus on execution. Track productivity gains on your dashboard.
Start automating Data Entry for monday
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How does Data Entry automation scale with increased monday volume?
The Data Entry agent scales automatically as your monday activity grows. Whether you process 10 or 10,000 Data Entry tasks per day from monday, the AI handles the volume without slowdowns or additional configuration.
How long does it take to set up Data Entry automation with monday?
Most users connect monday and launch their first Data Entry automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure Data Entry-specific rules through a visual no-code builder.
Can I test Data Entry automation with monday before going live?
Yes. You can run Data Entry workflows in test mode using sample monday data before activating on live records. This lets you verify every Data Entry rule works correctly with your monday setup before processing real data.
How does monday data stay secure during Data Entry automation?
All data exchanged between monday and DeskFerry during Data Entry processing is encrypted in transit and at rest. We use OAuth tokens for monday access, never store raw credentials, and maintain full audit logs of every Data Entry action.
What document formats can the Data Entry agent process for monday?
The agent reads PDFs, scanned images, emails, spreadsheets, and structured forms — extracting data fields and writing them to your systems. Even handwritten forms common in monday (intake, work orders, inspection reports) are processed accurately.
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