Automate Feedback Collection Across GitHub with AI
Purpose-built AI agent for Feedback Collection — connects to GitHub in minutes so your team can stop doing the work by hand.
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 GitHub
Authorize GitHub and Arahi AI hooks into your issues, repos, and deployment pipelines.
Configure Dev Workflows
Define triggers for GitHub 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 GitHub 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 @GitHub 30 days post-launch, route detractors to Customer S
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
The GitHub integration automates end-to-end feedback collection — including data capture from GitHub, validation, routing, follow-up actions, and status updates. Every feedback collection step that touches GitHub can be handled by the AI agent.
All data exchanged between GitHub and Arahi AI during feedback collection processing is encrypted in transit and at rest. We use OAuth tokens for GitHub access, never store raw credentials, and maintain full audit logs of every feedback collection action.
Manual feedback collection in GitHub requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling feedback collection tasks in real-time as GitHub events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can create parallel feedback collection workflows that respond to different GitHub events or conditions. For example, one feedback collection flow for new GitHub records and another for updated ones — each with independent rules and actions.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at github-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 github team.
No coding required. The no-code builder walks you through connecting GitHub and configuring feedback collection rules visually. Your team can set up, modify, and manage GitHub-based feedback collection workflows without any developer involvement.
When the AI hits an edge case during feedback collection processing in GitHub, it escalates to your team with full context — the GitHub record, what was attempted, and why it needs review. Your feedback collection pipeline never stalls or loses data.
Yes. You define exactly which GitHub 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 GitHub.
The GitHub integration maintains a persistent real-time connection for feedback collection automation with automatic retry logic and continuous monitoring. If GitHub experiences downtime, queued feedback collection tasks process automatically once connectivity resumes.
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