Feedback Collection Automation on Twilio, Powered by AI
Run Feedback Collection on top of Twilio with an Arahi AI agent. Faster execution, fewer errors, zero manual busywork.
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 Twilio
Add Twilio to your Arahi AI workspace in seconds. The AI immediately starts listening for messages and events.
Configure Message Workflows
Choose which Twilio channels, threads, or DMs trigger AI actions — and what happens next.
Automate & Stay in the Loop
The AI handles routine messages and tasks in Twilio 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 @Twilio 30 days post-launch, route detractors to Customer S
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
The feedback collection agent scales automatically as your Twilio activity grows. Whether you process 10 or 10,000 feedback collection tasks per day from Twilio, the AI handles the volume without slowdowns or additional configuration.
Most users connect Twilio 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 create parallel feedback collection workflows that respond to different Twilio events or conditions. For example, one feedback collection flow for new Twilio records and another for updated ones — each with independent rules and actions.
Yes. The feedback collection agent connected to Twilio simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single feedback collection workflow can pull data from Twilio, 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 twilio-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 twilio team.
No coding required. The no-code builder walks you through connecting Twilio and configuring feedback collection rules visually. Your team can set up, modify, and manage Twilio-based feedback collection workflows without any developer involvement.
Manual feedback collection in Twilio requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling feedback collection tasks in real-time as Twilio events occur — running 24/7 with consistent accuracy and zero fatigue.
When the AI hits an edge case during feedback collection processing in Twilio, it escalates to your team with full context — the Twilio 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 Twilio integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Twilio-triggered feedback collection workflows perform over time.
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