Smarter Feedback Collection for Jira Teams
Turn Feedback Collection into a background job. Arahi AI agents use Jira to execute on your behalf, 24/7.
247 surveys sent · 3 detractors routed. Sample reply trigger:
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 trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
Get started in three steps
Connect Jira
Link Jira to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Jira — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Jira organized while you focus on execution. Track productivity gains on your dashboard.
Saw your 4/10 — what would have made it a 9?
ChatGPT flagged your NPS reply for follow-up. You said the onboarding video was hard to follow — that's on us, and I'd love 10 minutes to walk you through the parts that bit.
Personalized using LinkedIn activity from the last 30 days.
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.
- Marco11:42 AM
Approved the draft to alex@kibblecorp.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Send NPS surveys via @Jira 30 days post-launch, route detractors to Customer Suc
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
The feedback collection agent scales automatically as your Jira activity grows. Whether you process 10 or 10,000 feedback collection tasks per day from Jira, the AI handles the volume without slowdowns or additional configuration.
The Jira integration automates end-to-end feedback collection — including data capture from Jira, validation, routing, follow-up actions, and status updates. Every feedback collection step that touches Jira can be handled by the AI agent.
Yes. You can create parallel feedback collection workflows that respond to different Jira events or conditions. For example, one feedback collection flow for new Jira records and another for updated ones — each with independent rules and actions.
All data exchanged between Jira and Arahi AI during feedback collection processing is encrypted in transit and at rest. We use OAuth tokens for Jira access, never store raw credentials, and maintain full audit logs of every feedback collection action.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at jira-specific lifecycle milestones. Timing is calibrated for highest response rate, not arbitrary monthly blasts.
Yes. The agent reads open-text feedback, identifies themes, scores sentiment, and surfaces operational issues that need attention — turning unstructured feedback into prioritized improvement workstreams for your jira team.
Yes. The feedback collection agent connected to Jira simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single feedback collection workflow can pull data from Jira, process it, and push results to multiple destinations.
The Jira integration maintains a persistent real-time connection for feedback collection automation with automatic retry logic and continuous monitoring. If Jira experiences downtime, queued feedback collection tasks process automatically once connectivity resumes.
Most users connect Jira and launch their first feedback collection automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure feedback collection-specific rules through a visual no-code builder.
When the AI hits an edge case during feedback collection processing in Jira, it escalates to your team with full context — the Jira record, what was attempted, and why it needs review. Your feedback collection pipeline never stalls or loses data.
Explore more AI agent solutions
Start automating Feedback Collection for Jira
7-day free trial. Works with the tools you already use.