AI Agent for Feedback Collection — Built for Pipefy
Automate Feedback Collection for teams using Pipefy. 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 Pipefy
Link Pipefy to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Pipefy — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Pipefy 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 @Pipefy 30 days post-launch, route detractors to Customer S
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Yes. You define exactly which Pipefy 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 Pipefy.
Arahi AI connects natively with Pipefy to handle the full feedback collection workflow. The AI agent monitors Pipefy events, processes feedback collection tasks automatically, and writes results back to Pipefy — no copy-pasting or tab-switching required.
The Pipefy integration automates end-to-end feedback collection — including data capture from Pipefy, validation, routing, follow-up actions, and status updates. Every feedback collection step that touches Pipefy can be handled by the AI agent.
Yes. The feedback collection agent connected to Pipefy simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single feedback collection workflow can pull data from Pipefy, process it, and push results to multiple destinations.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at pipefy-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 pipefy team.
The dashboard shows feedback collection-specific metrics for your Pipefy integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Pipefy-triggered feedback collection workflows perform over time.
Teams automating feedback collection through Pipefy 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 Pipefy-powered feedback collection automation delivers.
Yes. You can create parallel feedback collection workflows that respond to different Pipefy events or conditions. For example, one feedback collection flow for new Pipefy records and another for updated ones — each with independent rules and actions.
Manual feedback collection in Pipefy requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling feedback collection tasks in real-time as Pipefy events occur — running 24/7 with consistent accuracy and zero fatigue.
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