Smarter Customer Retention for Breeze Teams
Turn Customer Retention into a background job. Arahi AI agents use Breeze to execute on your behalf, 24/7.
47 dormant accounts surfaced. First save attempt:
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 trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
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.
Quick check — anything in the way?
Noticed Harbor Labs hasn't logged into Arahi since Feb 22. Usually that means one of three things: it's working so well you forgot, you got busy, or something's broken.
Personalized using LinkedIn activity from the last 30 days.
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.
- Marco11:42 AM
Approved the draft to liam.fischer@harborlabs.co.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Use @Breeze to spot accounts in @HubSpot that haven't logged in for 21 days, dra
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Arahi AI connects natively with Breeze to handle the full customer retention workflow. The AI agent monitors Breeze events, processes customer retention tasks automatically, and writes results back to Breeze — no copy-pasting or tab-switching required.
All data exchanged between Breeze and Arahi AI during customer retention 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 customer retention action.
Most users connect Breeze and launch their first customer retention automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure customer retention-specific rules through a visual no-code builder.
Yes. You can run customer retention workflows in test mode using sample Breeze data before activating on live records. This lets you verify every customer retention rule works correctly with your Breeze setup before processing real data.
The agent monitors usage, support interactions, payment patterns, and the engagement signals that historically precede churn in breeze. At-risk accounts surface to your CS team with the specific risk factors and recommended interventions.
Yes. The agent triggers personalized win-back sequences when risk signals fire — different content and incentives by customer segment and risk type. breeze businesses typically recover a meaningful fraction of accounts that would otherwise have churned silently.
No coding required. The no-code builder walks you through connecting Breeze and configuring customer retention rules visually. Your team can set up, modify, and manage Breeze-based customer retention workflows without any developer involvement.
Manual customer retention in Breeze requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling customer retention tasks in real-time as Breeze events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can create parallel customer retention workflows that respond to different Breeze events or conditions. For example, one customer retention flow for new Breeze records and another for updated ones — each with independent rules and actions.
Yes. You define exactly which Breeze events start customer retention workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so customer retention actions only fire when your specific criteria are met in Breeze.
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