Proposal Generation Automation on GitHub, Powered by AI
Run Proposal Generation on top of GitHub with an Arahi AI agent. Faster execution, fewer errors, zero manual busywork.
Proposal v1 drafted. Cover email queued:
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.
Northwave · Arahi proposal (v1) — for your Friday review
Attached is the v1 proposal for Northwave — 18 seats, 12-month term, $138K ACV with the early-renewal credit applied.
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 procurement@northwave.io.
- 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: Generate a tailored proposal with @GitHub for the Northwave deal — pull scope fr
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Arahi AI connects natively with GitHub to handle the full proposal generation workflow. The AI agent monitors GitHub events, processes proposal generation tasks automatically, and writes results back to GitHub — no copy-pasting or tab-switching required.
All data exchanged between GitHub and Arahi AI during proposal generation 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 proposal generation action.
Yes. You define exactly which GitHub events start proposal generation workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so proposal generation actions only fire when your specific criteria are met in GitHub.
Yes. You can create parallel proposal generation workflows that respond to different GitHub events or conditions. For example, one proposal generation flow for new GitHub records and another for updated ones — each with independent rules and actions.
Most users connect GitHub and launch their first proposal generation automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure proposal generation-specific rules through a visual no-code builder.
The dashboard shows proposal generation-specific metrics for your GitHub integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how GitHub-triggered proposal generation workflows perform over time.
Yes. You can run proposal generation workflows in test mode using sample GitHub data before activating on live records. This lets you verify every proposal generation rule works correctly with your GitHub setup before processing real data.
The proposal generation agent scales automatically as your GitHub activity grows. Whether you process 10 or 10,000 proposal generation tasks per day from GitHub, the AI handles the volume without slowdowns or additional configuration.
Arahi AI connects to GitHub via one-click OAuth, then runs proposal generation workflows that read and write GitHub data on a schedule or in response to triggers. You configure the rules once; the agent executes proposal generation across every relevant GitHub record without developer involvement.
GitHub holds the data; AI supplies the judgment and throughput. Together they turn proposal generation 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.
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