Market Research Automation on Cloudlayer, Powered by AI
Run Market Research on top of Cloudlayer 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 Cloudlayer
Link Cloudlayer to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Cloudlayer — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Cloudlayer 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
Most users connect Cloudlayer 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 Cloudlayer and Arahi AI during market research processing is encrypted in transit and at rest. We use OAuth tokens for Cloudlayer access, never store raw credentials, and maintain full audit logs of every market research action.
Teams automating market research through Cloudlayer 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 Cloudlayer-powered market research automation delivers.
Yes. The market research agent connected to Cloudlayer simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single market research workflow can pull data from Cloudlayer, process it, and push results to multiple destinations.
No coding required. The no-code builder walks you through connecting Cloudlayer and configuring market research rules visually. Your team can set up, modify, and manage Cloudlayer-based market research workflows without any developer involvement.
Yes. You can run market research workflows in test mode using sample Cloudlayer data before activating on live records. This lets you verify every market research rule works correctly with your Cloudlayer setup before processing real data.
Yes. You can create parallel market research workflows that respond to different Cloudlayer events or conditions. For example, one market research flow for new Cloudlayer records and another for updated ones — each with independent rules and actions.
The market research agent scales automatically as your Cloudlayer activity grows. Whether you process 10 or 10,000 market research tasks per day from Cloudlayer, the AI handles the volume without slowdowns or additional configuration.
Arahi AI connects to Cloudlayer via one-click OAuth, then runs market research workflows that read and write Cloudlayer data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Cloudlayer record without developer involvement.
Cloudlayer 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 Cloudlayer-adjacent work that genuinely needs human attention.
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