Feedback Collection Automation on Confluence, Powered by AI
Run Feedback Collection on top of Confluence with an Arahi AI agent. Faster execution, fewer errors, zero manual busywork.
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 Confluence
Link Confluence to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Confluence — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Confluence 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 @Confluence 30 days post-launch, route detractors to Custom
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Manual feedback collection in Confluence requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling feedback collection tasks in real-time as Confluence events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You define exactly which Confluence events start feedback collection workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so feedback collection actions only fire when your specific criteria are met in Confluence.
The feedback collection agent scales automatically as your Confluence activity grows. Whether you process 10 or 10,000 feedback collection tasks per day from Confluence, the AI handles the volume without slowdowns or additional configuration.
The Confluence integration automates end-to-end feedback collection — including data capture from Confluence, validation, routing, follow-up actions, and status updates. Every feedback collection step that touches Confluence can be handled by the AI agent.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at confluence-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 confluence team.
All data exchanged between Confluence and Arahi AI during feedback collection processing is encrypted in transit and at rest. We use OAuth tokens for Confluence access, never store raw credentials, and maintain full audit logs of every feedback collection action.
The Confluence integration maintains a persistent real-time connection for feedback collection automation with automatic retry logic and continuous monitoring. If Confluence experiences downtime, queued feedback collection tasks process automatically once connectivity resumes.
Arahi AI connects natively with Confluence to handle the full feedback collection workflow. The AI agent monitors Confluence events, processes feedback collection tasks automatically, and writes results back to Confluence — no copy-pasting or tab-switching required.
The dashboard shows feedback collection-specific metrics for your Confluence integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Confluence-triggered feedback collection workflows perform over time.
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