Document Review Automation on Datadog, Powered by AI
Run Document Review on top of Datadog with an Arahi AI agent. Faster execution, fewer errors, zero manual busywork.
MSA reviewed. 4 deviations flagged · summary in the legal queue:
Customer
“Pls review attached MSA before Thursday — same terms as last time except we tightened the indemnity clause and added a data-residency requirement.”
Agent draft · in your tone
Reviewed. Three substantive changes vs. our template: (1) indemnity cap raised to 2× fees — recommend pushing back to 1×; (2) EU data-residency clause is acceptable; (3) auto-renewal language is one-sided — proposed redline attached.
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 the inbound ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
Get started in three steps
Connect Datadog
Authorize Datadog and Arahi AI hooks into your issues, repos, and deployment pipelines.
Configure Dev Workflows
Define triggers for Datadog events — new issues, PR merges, build failures — and the AI actions to take.
Ship Faster with Less Toil
AI automates the tedious parts of your Datadog workflow. Track issues triaged, alerts handled, and developer time saved.
Reviewed. Three substantive changes vs. our template: (1) indemnity cap raised to 2× fees — recommend pushing back to 1×; (2) EU data-residency clause is acceptable; (3) auto-renewal language is one-sided — proposed redline attached.
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
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.
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.
- Northwave Procurement9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket Doc · Northwave-MSA-v3.
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 Doc · Northwave-MSA-v3 as the matching topic.
Frequently asked questions
The document review agent scales automatically as your Datadog activity grows. Whether you process 10 or 10,000 document review tasks per day from Datadog, the AI handles the volume without slowdowns or additional configuration.
Most users connect Datadog and launch their first document review automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure document review-specific rules through a visual no-code builder.
Yes. The document review agent connected to Datadog simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single document review workflow can pull data from Datadog, process it, and push results to multiple destinations.
Yes. You define exactly which Datadog events start document review workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so document review actions only fire when your specific criteria are met in Datadog.
The agent reviews contracts, leases, policies, regulatory filings, and the datadog-specific documents your team handles daily — extracting key clauses, flagging non-standard terms, and surfacing risks against your standards library.
Yes. You configure standard clauses, acceptable variations, and red-flag language specific to datadog. The agent applies these standards consistently across every document — eliminating the variance that comes from different reviewers with different opinions.
Manual document review in Datadog requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling document review tasks in real-time as Datadog events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can create parallel document review workflows that respond to different Datadog events or conditions. For example, one document review flow for new Datadog records and another for updated ones — each with independent rules and actions.
Teams automating document review through Datadog typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what Datadog-powered document review automation delivers.
Yes. You can run document review workflows in test mode using sample Datadog data before activating on live records. This lets you verify every document review rule works correctly with your Datadog setup before processing real data.
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