AI Agent for Feedback Collection — Built for GitLab
Automate Feedback Collection for teams using GitLab. 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 GitLab
Authorize GitLab and Arahi AI hooks into your issues, repos, and deployment pipelines.
Configure Dev Workflows
Define triggers for GitLab events — new issues, PR merges, build failures — and the AI actions to take.
Ship Faster with Less Toil
AI automates the tedious parts of your GitLab workflow. Track issues triaged, alerts handled, and developer time saved.
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 @GitLab 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 GitLab activity grows. Whether you process 10 or 10,000 feedback collection tasks per day from GitLab, the AI handles the volume without slowdowns or additional configuration.
Yes. You define exactly which GitLab 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 GitLab.
All data exchanged between GitLab and Arahi AI during feedback collection processing is encrypted in transit and at rest. We use OAuth tokens for GitLab access, never store raw credentials, and maintain full audit logs of every feedback collection action.
When the AI hits an edge case during feedback collection processing in GitLab, it escalates to your team with full context — the GitLab record, what was attempted, and why it needs review. Your feedback collection pipeline never stalls or loses data.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at gitlab-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 gitlab team.
Manual feedback collection in GitLab requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling feedback collection tasks in real-time as GitLab events occur — running 24/7 with consistent accuracy and zero fatigue.
No coding required. The no-code builder walks you through connecting GitLab and configuring feedback collection rules visually. Your team can set up, modify, and manage GitLab-based feedback collection workflows without any developer involvement.
Yes. The feedback collection agent connected to GitLab simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single feedback collection workflow can pull data from GitLab, process it, and push results to multiple destinations.
Arahi AI connects natively with GitLab to handle the full feedback collection workflow. The AI agent monitors GitLab events, processes feedback collection tasks automatically, and writes results back to GitLab — no copy-pasting or tab-switching required.
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