Data Entry on Autopilot for BigML Users
DeskFerry automates Data Entry across BigML, cutting repetitive work so your team can focus on higher-value tasks.
47 PDFs processed today. Latest entry:
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 BigML work for Data Entry automation?
BigML 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 BigML 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 BigML. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect BigML with one click, and data entry runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- BigMLConnect
- Google DriveConnect
- Google SheetsConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What BigML + DeskFerry can do
Real BigML actions your AI agent can perform automatically — no manual work required.
Create issues from alerts
Automatically open issues in BigML when monitoring systems detect errors, outages, or performance regressions.
Manage pull requests
Post review reminders, enforce labeling conventions, and auto-merge approved pull requests in BigML.
Trigger CI/CD pipelines
Kick off build and deployment pipelines in BigML when code is pushed or a pull request is merged.
Track release milestones
Update milestone progress in BigML as issues are closed and pull requests are merged toward a release.
Sync project boards
Keep issue status and priority in BigML aligned with your project management tool in real-time.
Generate changelogs
Compile merged pull requests and closed issues from BigML into formatted release notes automatically.
Assign reviewers automatically
Route new pull requests in BigML to the appropriate code reviewers based on file ownership and team rules.
Monitor repository activity
Watch for commits, branch creations, and tag events in BigML and notify the team of significant changes.
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 BigML
Authorize BigML and DeskFerry hooks into your issues, repos, and deployment pipelines.
Step 02
Configure Dev Workflows
Define triggers for BigML events — new issues, PR merges, build failures — and the AI actions to take.
Step 03
Ship Faster with Less Toil
AI automates the tedious parts of your BigML workflow. Track issues triaged, alerts handled, and developer time saved.
Start automating Data Entry for BigML
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How does AI-powered Data Entry via BigML compare to manual processing?
Manual Data Entry in BigML requires constant tab-switching, copy-pasting, and follow-up tracking. DeskFerry eliminates this by handling Data Entry tasks in real-time as BigML events occur — running 24/7 with consistent accuracy and zero fatigue.
How does Data Entry automation scale with increased BigML volume?
The Data Entry agent scales automatically as your BigML activity grows. Whether you process 10 or 10,000 Data Entry tasks per day from BigML, the AI handles the volume without slowdowns or additional configuration.
How does BigML data stay secure during Data Entry automation?
All data exchanged between BigML and DeskFerry during Data Entry processing is encrypted in transit and at rest. We use OAuth tokens for BigML access, never store raw credentials, and maintain full audit logs of every Data Entry action.
Can I customize which BigML events trigger Data Entry actions?
Yes. You define exactly which BigML events start Data Entry workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so Data Entry actions only fire when your specific criteria are met in BigML.
What document formats can the Data Entry agent process for BigML?
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 BigML (intake, work orders, inspection reports) are processed accurately.
Explore more