AI Agent for Chat Support — Built for GitHub
Automate Chat Support for teams using GitHub. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
84 chats handled overnight. Sample resolution:
Customer
“Hey — my Slack agent stopped firing after I rotated the workspace token yesterday. Anything I need to do on my end?”
Agent draft · in your tone
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your Arahi inbox; once you tap it the agent will pick up where it left off (no re-training needed).
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 inbound ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
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.
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your Arahi inbox; once you tap it the agent will pick up where it left off (no re-training needed).
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
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.
- Lara Knight9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket #9281.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged #9281 as the matching topic.
Frequently asked questions
The GitHub integration automates end-to-end chat support — including data capture from GitHub, validation, routing, follow-up actions, and status updates. Every chat support step that touches GitHub can be handled by the AI agent.
Arahi AI connects natively with GitHub to handle the full chat support workflow. The AI agent monitors GitHub events, processes chat support tasks automatically, and writes results back to GitHub — no copy-pasting or tab-switching required.
Yes. You define exactly which GitHub events start chat support workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so chat support actions only fire when your specific criteria are met in GitHub.
All data exchanged between GitHub and Arahi AI during chat support 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 chat support action.
Yes. The chat support agent connected to GitHub simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single chat support workflow can pull data from GitHub, process it, and push results to multiple destinations.
When the AI hits an edge case during chat support processing in GitHub, it escalates to your team with full context — the GitHub record, what was attempted, and why it needs review. Your chat support pipeline never stalls or loses data.
Yes. You can run chat support workflows in test mode using sample GitHub data before activating on live records. This lets you verify every chat support rule works correctly with your GitHub setup before processing real data.
No coding required. The no-code builder walks you through connecting GitHub and configuring chat support rules visually. Your team can set up, modify, and manage GitHub-based chat support workflows without any developer involvement.
Arahi AI connects to GitHub via one-click OAuth, then runs chat support workflows that read and write GitHub data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant GitHub record without developer involvement.
GitHub holds the data; AI supplies the judgment and throughput. Together they turn chat support from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the GitHub-adjacent work that genuinely needs human attention.
Explore more AI agent solutions
Start automating Chat Support for GitHub
7-day free trial. Works with the tools you already use.