AI Agent for Feedback Collection — Built for HubSpot
Automate Feedback Collection for teams using HubSpot. 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 Your HubSpot Account
Authorize HubSpot via OAuth in one click. Arahi AI maps your contacts, deals, and custom fields automatically.
Set Up Sales Automation Rules
Define triggers — new lead, deal stage change, stale pipeline — and the AI actions to take in HubSpot.
Launch & Track Revenue Impact
Your AI agent starts working inside HubSpot. Track leads processed, deals influenced, and time saved 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 @HubSpot 30 days post-launch, route detractors to Customer
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
The HubSpot integration automates end-to-end feedback collection — including data capture from HubSpot, validation, routing, follow-up actions, and status updates. Every feedback collection step that touches HubSpot can be handled by the AI agent.
Yes. You define exactly which HubSpot 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 HubSpot.
Teams automating feedback collection through HubSpot 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 HubSpot-powered feedback collection automation delivers.
All data exchanged between HubSpot and Arahi AI during feedback collection processing is encrypted in transit and at rest. We use OAuth tokens for HubSpot access, never store raw credentials, and maintain full audit logs of every feedback collection action.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at hubspot-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 hubspot team.
No coding required. The no-code builder walks you through connecting HubSpot and configuring feedback collection rules visually. Your team can set up, modify, and manage HubSpot-based feedback collection workflows without any developer involvement.
Yes. You can create parallel feedback collection workflows that respond to different HubSpot events or conditions. For example, one feedback collection flow for new HubSpot records and another for updated ones — each with independent rules and actions.
When the AI hits an edge case during feedback collection processing in HubSpot, it escalates to your team with full context — the HubSpot record, what was attempted, and why it needs review. Your feedback collection pipeline never stalls or loses data.
The dashboard shows feedback collection-specific metrics for your HubSpot integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how HubSpot-triggered feedback collection workflows perform over time.
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