Run Market Research on Breeze — AI Agent
Already on Breeze? Add an Arahi AI agent for Market Research and save hours every week without writing code.
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 Breeze
Link Breeze to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Breeze — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Breeze 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 Breeze integration automates end-to-end market research — including data capture from Breeze, validation, routing, follow-up actions, and status updates. Every market research step that touches Breeze can be handled by the AI agent.
Teams automating market research through Breeze 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 Breeze-powered market research automation delivers.
Yes. You can create parallel market research workflows that respond to different Breeze events or conditions. For example, one market research flow for new Breeze records and another for updated ones — each with independent rules and actions.
Yes. The market research agent connected to Breeze simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single market research workflow can pull data from Breeze, process it, and push results to multiple destinations.
Manual market research in Breeze requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling market research tasks in real-time as Breeze events occur — running 24/7 with consistent accuracy and zero fatigue.
The dashboard shows market research-specific metrics for your Breeze integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Breeze-triggered market research workflows perform over time.
No coding required. The no-code builder walks you through connecting Breeze and configuring market research rules visually. Your team can set up, modify, and manage Breeze-based market research workflows without any developer involvement.
All data exchanged between Breeze and Arahi AI during market research processing is encrypted in transit and at rest. We use OAuth tokens for Breeze access, never store raw credentials, and maintain full audit logs of every market research action.
Arahi AI connects to Breeze via one-click OAuth, then runs market research workflows that read and write Breeze data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Breeze record without developer involvement.
Breeze 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 Breeze-adjacent work that genuinely needs human attention.
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