Automate Proposal Generation Across Jira with AI
Purpose-built AI agent for Proposal Generation — connects to Jira in minutes so your team can stop doing the work by hand.
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 Jira
Link Jira to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Jira — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Jira organized while you focus on execution. Track productivity gains on your dashboard.
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 @Jira for the Northwave deal — pull scope from
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
The Jira integration automates end-to-end proposal generation — including data capture from Jira, validation, routing, follow-up actions, and status updates. Every proposal generation step that touches Jira can be handled by the AI agent.
Yes. You can run proposal generation workflows in test mode using sample Jira data before activating on live records. This lets you verify every proposal generation rule works correctly with your Jira setup before processing real data.
Yes. You can create parallel proposal generation workflows that respond to different Jira events or conditions. For example, one proposal generation flow for new Jira records and another for updated ones — each with independent rules and actions.
Yes. The proposal generation agent connected to Jira simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single proposal generation workflow can pull data from Jira, process it, and push results to multiple destinations.
Teams automating proposal generation through Jira typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what Jira-powered proposal generation automation delivers.
Manual proposal generation in Jira requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling proposal generation tasks in real-time as Jira events occur — running 24/7 with consistent accuracy and zero fatigue.
When the AI hits an edge case during proposal generation processing in Jira, it escalates to your team with full context — the Jira record, what was attempted, and why it needs review. Your proposal generation pipeline never stalls or loses data.
The dashboard shows proposal generation-specific metrics for your Jira integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Jira-triggered proposal generation workflows perform over time.
Arahi AI connects to Jira via one-click OAuth, then runs proposal generation workflows that read and write Jira data on a schedule or in response to triggers. You configure the rules once; the agent executes proposal generation across every relevant Jira record without developer involvement.
Jira 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 Jira-adjacent work that genuinely needs human attention.
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