AI Agent for Market Research — Built for Calendly
Automate Market Research for teams using Calendly. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
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 Calendly
Link Calendly to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Calendly — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Calendly 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
Yes. You define exactly which Calendly events start market research workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so market research actions only fire when your specific criteria are met in Calendly.
Arahi AI connects natively with Calendly to handle the full market research workflow. The AI agent monitors Calendly events, processes market research tasks automatically, and writes results back to Calendly — no copy-pasting or tab-switching required.
Yes. The market research agent connected to Calendly simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single market research workflow can pull data from Calendly, process it, and push results to multiple destinations.
Most users connect Calendly 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.
Teams automating market research through Calendly 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 Calendly-powered market research automation delivers.
When the AI hits an edge case during market research processing in Calendly, it escalates to your team with full context — the Calendly 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 Calendly events or conditions. For example, one market research flow for new Calendly records and another for updated ones — each with independent rules and actions.
Yes. You can run market research workflows in test mode using sample Calendly data before activating on live records. This lets you verify every market research rule works correctly with your Calendly setup before processing real data.
Arahi AI connects to Calendly via one-click OAuth, then runs market research workflows that read and write Calendly data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Calendly record without developer involvement.
Calendly 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 Calendly-adjacent work that genuinely needs human attention.
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