Feedback Collection Automation on Cloudlayer, Powered by AI
Run Feedback Collection on top of Cloudlayer 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 Cloudlayer
Link Cloudlayer to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Cloudlayer — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Cloudlayer 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 @Cloudlayer 30 days post-launch, route detractors to Custom
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Arahi AI connects natively with Cloudlayer to handle the full feedback collection workflow. The AI agent monitors Cloudlayer events, processes feedback collection tasks automatically, and writes results back to Cloudlayer — no copy-pasting or tab-switching required.
All data exchanged between Cloudlayer and Arahi AI during feedback collection processing is encrypted in transit and at rest. We use OAuth tokens for Cloudlayer access, never store raw credentials, and maintain full audit logs of every feedback collection action.
Teams automating feedback collection through Cloudlayer 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 Cloudlayer-powered feedback collection automation delivers.
When the AI hits an edge case during feedback collection processing in Cloudlayer, it escalates to your team with full context — the Cloudlayer record, what was attempted, and why it needs review. Your feedback collection pipeline never stalls or loses data.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at cloudlayer-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 cloudlayer team.
Manual feedback collection in Cloudlayer requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling feedback collection tasks in real-time as Cloudlayer events occur — running 24/7 with consistent accuracy and zero fatigue.
The dashboard shows feedback collection-specific metrics for your Cloudlayer integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Cloudlayer-triggered feedback collection workflows perform over time.
The feedback collection agent scales automatically as your Cloudlayer activity grows. Whether you process 10 or 10,000 feedback collection tasks per day from Cloudlayer, the AI handles the volume without slowdowns or additional configuration.
The Cloudlayer integration automates end-to-end feedback collection — including data capture from Cloudlayer, validation, routing, follow-up actions, and status updates. Every feedback collection step that touches Cloudlayer can be handled by the AI agent.
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