Smarter Data Entry for Azure DevOps Teams
Turn Data Entry into a background job. DeskFerry agents use Azure DevOps to execute on your behalf, 24/7.
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 Azure DevOps work for Data Entry automation?
Azure DevOps 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 Azure DevOps 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
DevOps 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.
- 1DevOps read every PDF that lands in our AP @Drive folder
- 2Extract the structured fields
- 3Append a row to @Sheets
How it connects
Connect Azure DevOps. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Azure DevOps with one click, and data entry runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- Azure DevOpsConnect
- Google DriveConnect
- Google SheetsConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Azure DevOps + DeskFerry can do
Real Azure DevOps actions your AI agent can perform automatically — no manual work required.
Provision cloud resources
Spin up servers, databases, or containers in Azure DevOps when deployment pipelines or scaling rules are triggered.
Monitor system health
Watch CPU, memory, and network metrics in Azure DevOps and trigger alerts when thresholds are breached.
Scale resources automatically
Adjust compute capacity in Azure DevOps based on traffic patterns, queue depth, or custom scaling policies.
Rotate secrets and credentials
Automatically rotate API keys, database passwords, and certificates in Azure DevOps on a defined schedule.
Deploy application updates
Trigger rolling deployments in Azure DevOps when new container images or build artifacts are available.
Manage DNS records
Create, update, or remove DNS entries in Azure DevOps as part of deployment or domain management workflows.
Collect and forward logs
Stream application and infrastructure logs from Azure DevOps to centralized logging and analysis platforms.
Enforce security policies
Audit resource configurations in Azure DevOps against compliance rules and remediate violations automatically.
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 Azure DevOps
Authorize Azure DevOps and DeskFerry starts monitoring your infrastructure events and metrics.
Step 02
Define Ops Automation Rules
Set up triggers for Azure DevOps alerts — resource usage, security events, or deployment changes — and AI response actions.
Step 03
Automate Ops & Stay Secure
AI handles routine operations in Azure DevOps while flagging critical issues. Track incidents resolved and downtime prevented.
Start automating Data Entry for Azure DevOps
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How does DeskFerry automate Data Entry directly inside Azure DevOps?
DeskFerry connects natively with Azure DevOps to handle the full Data Entry workflow. The AI agent monitors Azure DevOps events, processes Data Entry tasks automatically, and writes results back to Azure DevOps — no copy-pasting or tab-switching required.
How long does it take to set up Data Entry automation with Azure DevOps?
Most users connect Azure DevOps 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.
How does Azure DevOps data stay secure during Data Entry automation?
All data exchanged between Azure DevOps and DeskFerry during Data Entry processing is encrypted in transit and at rest. We use OAuth tokens for Azure DevOps access, never store raw credentials, and maintain full audit logs of every Data Entry action.
Can I test Data Entry automation with Azure DevOps before going live?
Yes. You can run Data Entry workflows in test mode using sample Azure DevOps data before activating on live records. This lets you verify every Data Entry rule works correctly with your Azure DevOps setup before processing real data.
What document formats can the Data Entry agent process for Azure DevOps?
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 Azure DevOps (intake, work orders, inspection reports) are processed accurately.
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