Market Research Automation on Slack, Powered by AI
Run Market Research on top of Slack 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 Slack
Add Slack to your Arahi AI workspace in seconds. The AI immediately starts listening for messages and events.
Configure Message Workflows
Choose which Slack channels, threads, or DMs trigger AI actions — and what happens next.
Automate & Stay in the Loop
The AI handles routine messages and tasks in Slack while escalating anything that needs your attention.
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
Teams automating market research through Slack 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 Slack-powered market research automation delivers.
Yes. You can run market research workflows in test mode using sample Slack data before activating on live records. This lets you verify every market research rule works correctly with your Slack setup before processing real data.
Arahi AI connects natively with Slack to handle the full market research workflow. The AI agent monitors Slack events, processes market research tasks automatically, and writes results back to Slack — no copy-pasting or tab-switching required.
Yes. The market research agent connected to Slack simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single market research workflow can pull data from Slack, process it, and push results to multiple destinations.
The Slack integration maintains a persistent real-time connection for market research automation with automatic retry logic and continuous monitoring. If Slack experiences downtime, queued market research tasks process automatically once connectivity resumes.
Yes. You can create parallel market research workflows that respond to different Slack events or conditions. For example, one market research flow for new Slack records and another for updated ones — each with independent rules and actions.
Most users connect Slack 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.
When the AI hits an edge case during market research processing in Slack, it escalates to your team with full context — the Slack record, what was attempted, and why it needs review. Your market research pipeline never stalls or loses data.
Arahi AI connects to Slack via one-click OAuth, then runs market research workflows that read and write Slack data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Slack record without developer involvement.
Slack 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 Slack-adjacent work that genuinely needs human attention.
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