Smarter Market Research for Clockify Teams
Turn Market Research into a background job. Arahi AI agents use Clockify 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 Clockify
Link Clockify to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Clockify — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Clockify 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 Clockify to handle the full market research workflow. The AI agent monitors Clockify events, processes market research tasks automatically, and writes results back to Clockify — no copy-pasting or tab-switching required.
Most users connect Clockify 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.
The market research agent scales automatically as your Clockify activity grows. Whether you process 10 or 10,000 market research tasks per day from Clockify, the AI handles the volume without slowdowns or additional configuration.
Yes. The market research agent connected to Clockify simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single market research workflow can pull data from Clockify, process it, and push results to multiple destinations.
Manual market research in Clockify requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling market research tasks in real-time as Clockify events occur — running 24/7 with consistent accuracy and zero fatigue.
When the AI hits an edge case during market research processing in Clockify, it escalates to your team with full context — the Clockify record, what was attempted, and why it needs review. Your market research pipeline never stalls or loses data.
Teams automating market research through Clockify 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 Clockify-powered market research automation delivers.
Yes. You can create parallel market research workflows that respond to different Clockify events or conditions. For example, one market research flow for new Clockify records and another for updated ones — each with independent rules and actions.
Arahi AI connects to Clockify via one-click OAuth, then runs market research workflows that read and write Clockify data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Clockify record without developer involvement.
Clockify 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 Clockify-adjacent work that genuinely needs human attention.
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