Smarter Chat Support for Datadog Teams
Turn Chat Support into a background job. DeskFerry agents use Datadog to execute on your behalf, 24/7.
84 chats handled overnight. Sample resolution:
Customer
“Hey — my Slack agent stopped firing after I rotated the workspace token yesterday. Anything I need to do on my end?”
Agent draft · in your tone
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your DeskFerry inbox; once you tap it the agent will pick up where it left off (no re-training needed).
How does Datadog work for Chat Support automation?
Datadog works for Chat Support 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 Chat Support, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Answer live @Intercom chats using @Datadog in our brand voice
AI handles common questions immediately, reducing wait times to zero for routine inquiries.
- 03
Escalate the rest with full context to @Zendesk
Teams typically see instant around the clock once the agent is in production.
- 04
You approve
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.
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.
- 1Answer live @Intercom chats using @Datadog in our brand voice
- 2Escalate the rest with full context to @Zendesk
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 chat support runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- DatadogConnect
- IntercomConnect
- ZendeskConnect
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.
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your DeskFerry inbox; once you tap it the agent will pick up where it left off (no re-training needed).
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
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.
- Lara Knight9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket #9281.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged #9281 as the matching topic.
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 Chat Support for Datadog
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How does Datadog data stay secure during Chat Support automation?
All data exchanged between Datadog and DeskFerry during Chat Support processing is encrypted in transit and at rest. We use OAuth tokens for Datadog access, never store raw credentials, and maintain full audit logs of every Chat Support action.
What specific Chat Support tasks can the Datadog integration automate?
The Datadog integration automates end-to-end Chat Support — including data capture from Datadog, validation, routing, follow-up actions, and status updates. Every Chat Support step that touches Datadog can be handled by the AI agent.
Can I run multiple Chat Support workflows with different Datadog triggers?
Yes. You can create parallel Chat Support workflows that respond to different Datadog events or conditions. For example, one Chat Support flow for new Datadog records and another for updated ones — each with independent rules and actions.
Can I test Chat Support automation with Datadog before going live?
Yes. You can run Chat Support workflows in test mode using sample Datadog data before activating on live records. This lets you verify every Chat Support rule works correctly with your Datadog setup before processing real data.
How does DeskFerry automate Chat Support directly inside Datadog?
DeskFerry connects natively with Datadog to handle the full Chat Support workflow. The AI agent monitors Datadog events, processes Chat Support tasks automatically, and writes results back to Datadog — no copy-pasting or tab-switching required.
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