Feedback Collection on Autopilot for Clearbit Users
Arahi AI automates Feedback Collection across Clearbit, cutting repetitive work so your team can focus on higher-value tasks.
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 Clearbit
Link Clearbit to Arahi AI and your data pipelines start syncing within seconds.
Define Data Workflows
Choose which Clearbit datasets, reports, or dashboards trigger AI actions — and configure transforms and delivery rules.
Automate Insights Delivery
AI processes your Clearbit data on schedule, surfaces anomalies, and distributes reports to stakeholders automatically.
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 @Clearbit 30 days post-launch, route detractors to Customer
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Arahi AI connects natively with Clearbit to handle the full feedback collection workflow. The AI agent monitors Clearbit events, processes feedback collection tasks automatically, and writes results back to Clearbit — no copy-pasting or tab-switching required.
The feedback collection agent scales automatically as your Clearbit activity grows. Whether you process 10 or 10,000 feedback collection tasks per day from Clearbit, the AI handles the volume without slowdowns or additional configuration.
Most users connect Clearbit 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.
Yes. You can run feedback collection workflows in test mode using sample Clearbit data before activating on live records. This lets you verify every feedback collection rule works correctly with your Clearbit setup before processing real data.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at clearbit-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 clearbit team.
All data exchanged between Clearbit and Arahi AI during feedback collection processing is encrypted in transit and at rest. We use OAuth tokens for Clearbit access, never store raw credentials, and maintain full audit logs of every feedback collection action.
Manual feedback collection in Clearbit requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling feedback collection tasks in real-time as Clearbit events occur — running 24/7 with consistent accuracy and zero fatigue.
When the AI hits an edge case during feedback collection processing in Clearbit, it escalates to your team with full context — the Clearbit record, what was attempted, and why it needs review. Your feedback collection pipeline never stalls or loses data.
Yes. You can create parallel feedback collection workflows that respond to different Clearbit events or conditions. For example, one feedback collection flow for new Clearbit records and another for updated ones — each with independent rules and actions.
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