Market Research Automation on monday, Powered by AI
Run Market Research on top of monday with an Arahi AI agent. Faster execution, fewer errors, zero manual busywork.
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 monday
Link monday to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in monday — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps monday 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
The market research agent scales automatically as your monday activity grows. Whether you process 10 or 10,000 market research tasks per day from monday, the AI handles the volume without slowdowns or additional configuration.
The monday integration automates end-to-end market research — including data capture from monday, validation, routing, follow-up actions, and status updates. Every market research step that touches monday can be handled by the AI agent.
Arahi AI connects natively with monday to handle the full market research workflow. The AI agent monitors monday events, processes market research tasks automatically, and writes results back to monday — no copy-pasting or tab-switching required.
All data exchanged between monday and Arahi AI during market research processing is encrypted in transit and at rest. We use OAuth tokens for monday access, never store raw credentials, and maintain full audit logs of every market research action.
Yes. You can run market research workflows in test mode using sample monday data before activating on live records. This lets you verify every market research rule works correctly with your monday setup before processing real data.
When the AI hits an edge case during market research processing in monday, it escalates to your team with full context — the monday record, what was attempted, and why it needs review. Your market research pipeline never stalls or loses data.
Manual market research in monday requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling market research tasks in real-time as monday events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can create parallel market research workflows that respond to different monday events or conditions. For example, one market research flow for new monday records and another for updated ones — each with independent rules and actions.
Arahi AI connects to monday via one-click OAuth, then runs market research workflows that read and write monday data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant monday record without developer involvement.
monday 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 monday-adjacent work that genuinely needs human attention.
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