Smarter Workflow for GitHub Teams
Turn Workflow into a background job. Arahi AI agents use GitHub to execute on your behalf, 24/7.
Brightlane closed-won. Handoff fired:
Meeting notes
- • Slack: #cs-brightlane channel created · Marco assigned.
- • Notion: project workspace cloned from template.
- • Calendar: kickoff booked Tue Mar 12, 2:00 PM PT (45 min).
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 meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant 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.
Slack: #cs-brightlane channel created · Marco assigned.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
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.
- Agent2:47 PM
Updated Salesforce · Closed-won with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Handoff · Brightlane · Closed-won $86K.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
Arahi AI connects natively with GitHub to handle the full workflow workflow. The AI agent monitors GitHub events, processes workflow tasks automatically, and writes results back to GitHub — no copy-pasting or tab-switching required.
All data exchanged between GitHub and Arahi AI during workflow 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 workflow action.
Most users connect GitHub and launch their first workflow automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure workflow-specific rules through a visual no-code builder.
Yes. You define exactly which GitHub events start workflow workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so workflow actions only fire when your specific criteria are met in GitHub.
Anything that follows repeatable rules — approvals, document routing, multi-system handoffs, scheduled tasks, and the github-specific cross-departmental processes that today rely on email follow-ups and tribal knowledge.
No. Workflows are built in a visual no-code builder by your github ops or business teams. Most workflows go from idea to live in under a day without any developer involvement.
No coding required. The no-code builder walks you through connecting GitHub and configuring workflow rules visually. Your team can set up, modify, and manage GitHub-based workflow workflows without any developer involvement.
Yes. You can create parallel workflow workflows that respond to different GitHub events or conditions. For example, one workflow flow for new GitHub records and another for updated ones — each with independent rules and actions.
Manual workflow in GitHub requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling workflow tasks in real-time as GitHub events occur — running 24/7 with consistent accuracy and zero fatigue.
When the AI hits an edge case during workflow processing in GitHub, it escalates to your team with full context — the GitHub record, what was attempted, and why it needs review. Your workflow pipeline never stalls or loses data.
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