AI Agent for Feedback Collection — Built for Bird
Automate Feedback Collection for teams using Bird. 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 Bird
Add Bird to your Arahi AI workspace in seconds. The AI immediately starts listening for messages and events.
Configure Message Workflows
Choose which Bird channels, threads, or DMs trigger AI actions — and what happens next.
Automate & Stay in the Loop
The AI handles routine messages and tasks in Bird while escalating anything that needs your attention.
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 @Bird 30 days post-launch, route detractors to Customer Suc
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Yes. You define exactly which Bird 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 Bird.
Arahi AI connects natively with Bird to handle the full feedback collection workflow. The AI agent monitors Bird events, processes feedback collection tasks automatically, and writes results back to Bird — no copy-pasting or tab-switching required.
Yes. The feedback collection agent connected to Bird simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single feedback collection workflow can pull data from Bird, process it, and push results to multiple destinations.
Most users connect Bird 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.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at bird-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 bird team.
When the AI hits an edge case during feedback collection processing in Bird, it escalates to your team with full context — the Bird record, what was attempted, and why it needs review. Your feedback collection pipeline never stalls or loses data.
The Bird integration maintains a persistent real-time connection for feedback collection automation with automatic retry logic and continuous monitoring. If Bird experiences downtime, queued feedback collection tasks process automatically once connectivity resumes.
The dashboard shows feedback collection-specific metrics for your Bird integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Bird-triggered feedback collection workflows perform over time.
Yes. You can run feedback collection workflows in test mode using sample Bird data before activating on live records. This lets you verify every feedback collection rule works correctly with your Bird setup before processing real data.
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