Smarter Market Research for Jira Teams
Turn Market Research into a background job. Arahi AI agents use Jira to execute on your behalf, 24/7.
Brief drafted — 12 sources cited. Action items pulled:
Meeting notes
- • Lindy launched a $99 starter tier — undercutting our Pro by $50.
- • Relay shipped a Slack-native agent builder; demo gif on landing page.
- • Stack AI raised $25M; expect aggressive ad spend through Q2.
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 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.
Lindy launched a $99 starter tier — undercutting our Pro by $50.
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 Notion · Compete tracker 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 Competitor brief · Week of Mar 10.
- 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 Jira to handle the full market research workflow. The AI agent monitors Jira events, processes market research tasks automatically, and writes results back to Jira — no copy-pasting or tab-switching required.
Most users connect Jira and launch their first market research automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure market research-specific rules through a visual no-code builder.
All data exchanged between Jira and Arahi AI during market research processing is encrypted in transit and at rest. We use OAuth tokens for Jira access, never store raw credentials, and maintain full audit logs of every market research action.
The market research agent scales automatically as your Jira activity grows. Whether you process 10 or 10,000 market research tasks per day from Jira, the AI handles the volume without slowdowns or additional configuration.
No coding required. The no-code builder walks you through connecting Jira and configuring market research rules visually. Your team can set up, modify, and manage Jira-based market research workflows without any developer involvement.
Manual market research in Jira requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling market research 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 market research processing in Jira, it escalates to your team with full context — the Jira record, what was attempted, and why it needs review. Your market research pipeline never stalls or loses data.
Yes. You can create parallel market research workflows that respond to different Jira events or conditions. For example, one market research flow for new Jira records and another for updated ones — each with independent rules and actions.
Arahi AI connects to Jira via one-click OAuth, then runs market research workflows that read and write Jira data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Jira record without developer involvement.
Jira holds the data; AI supplies the judgment and throughput. Together they turn market research 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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