AI Agent for Feedback Collection — Built for Canny
Automate Feedback Collection for teams using Canny. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
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 Canny
Authorize Canny and Arahi AI immediately starts monitoring incoming tickets and support events.
Configure Ticket Workflows
Set up AI triage rules — classify tickets by type, assign priority, and route to the right agent in Canny.
Resolve Faster & Track Results
AI handles routine tickets and drafts responses in Canny. Monitor resolution times and satisfaction scores live.
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 @Canny 30 days post-launch, route detractors to Customer Su
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
The Canny integration automates end-to-end feedback collection — including data capture from Canny, validation, routing, follow-up actions, and status updates. Every feedback collection step that touches Canny can be handled by the AI agent.
Yes. You define exactly which Canny 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 Canny.
Manual feedback collection in Canny requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling feedback collection tasks in real-time as Canny events occur — running 24/7 with consistent accuracy and zero fatigue.
When the AI hits an edge case during feedback collection processing in Canny, it escalates to your team with full context — the Canny 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 canny-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 canny team.
Yes. The feedback collection agent connected to Canny simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single feedback collection workflow can pull data from Canny, process it, and push results to multiple destinations.
The dashboard shows feedback collection-specific metrics for your Canny integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Canny-triggered feedback collection workflows perform over time.
The Canny integration maintains a persistent real-time connection for feedback collection automation with automatic retry logic and continuous monitoring. If Canny experiences downtime, queued feedback collection tasks process automatically once connectivity resumes.
Arahi AI connects natively with Canny to handle the full feedback collection workflow. The AI agent monitors Canny events, processes feedback collection tasks automatically, and writes results back to Canny — no copy-pasting or tab-switching required.
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