AI Agent for Data Entry — Built for Datadog
Automate Data Entry for teams using Datadog. DeskFerry agents handle the workflow end-to-end — no code, set up in minutes.
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 Datadog work for Data Entry automation?
Datadog 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 Datadog 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 Datadog. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Datadog with one click, and data entry runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- DatadogConnect
- Google DriveConnect
- Google SheetsConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Datadog + DeskFerry can do
Real Datadog actions your AI agent can perform automatically — no manual work required.
Create Dashboard
Create a dashboard in datadog. dashboards provide customizable visualizations for monitoring your infrastructure, applications, and business metrics in a unified view.
Create downtime
Creates a new downtime in datadog to suppress alerts during maintenance windows or planned outages. useful for preventing false alarms during deployments or maintenance.
Create event
Creates a new event in datadog. events are useful for tracking deployments, outages, configuration changes, and other important occurrences.
Create monitor
Creates a new datadog monitor to track metrics, logs, or other data sources with configurable alerting thresholds and notifications.
Create SLO
Create a service level objective (slo) in datadog. slos help you define and track reliability targets for your services, enabling data-driven decisions about service quality and reliability investments.
Create Synthetic API Test
Create a synthetic api test in datadog. creates a new synthetic api test that continuously monitors api endpoints from multiple locations worldwide. useful for proactive monitoring of api uptime, performance, and functionality.
Create Webhook
Create a webhook in datadog. webhooks enable you to receive notifications from datadog monitors and alerts to external services and applications.
Delete Dashboard
Delete a dashboard in datadog. permanently removes a dashboard from your organization. this action cannot be undone. use with caution.
Delete monitor
Deletes a datadog monitor permanently. use with caution as this action cannot be undone.
Get Dashboard
Get a specific dashboard from datadog. retrieves detailed information about a dashboard including its widgets, layout, template variables, and metadata.
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 Datadog
Authorize Datadog and DeskFerry hooks into your issues, repos, and deployment pipelines.
Step 02
Configure Dev Workflows
Define triggers for Datadog 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 Datadog workflow. Track issues triaged, alerts handled, and developer time saved.
Start automating Data Entry for Datadog
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
Can I test Data Entry automation with Datadog before going live?
Yes. You can run Data Entry workflows in test mode using sample Datadog data before activating on live records. This lets you verify every Data Entry rule works correctly with your Datadog setup before processing real data.
Can I customize which Datadog events trigger Data Entry actions?
Yes. You define exactly which Datadog 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 Datadog.
Can the Datadog Data Entry agent also work with other tools in my stack?
Yes. The Data Entry agent connected to Datadog simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single Data Entry workflow can pull data from Datadog, process it, and push results to multiple destinations.
Do I need technical skills to connect Datadog for Data Entry automation?
No coding required. The no-code builder walks you through connecting Datadog and configuring Data Entry rules visually. Your team can set up, modify, and manage Datadog-based Data Entry workflows without any developer involvement.
What document formats can the Data Entry agent process for Datadog?
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 datadog (intake, work orders, inspection reports) are processed accurately.
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