Customer Retention on Autopilot for Avaza Users
Arahi AI automates Customer Retention across Avaza, cutting repetitive work so your team can focus on higher-value tasks.
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 Avaza
Link Avaza to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Avaza — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Avaza 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 @Avaza to spot accounts in @HubSpot that haven't logged in for 21 days, draf
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Arahi AI connects natively with Avaza to handle the full customer retention workflow. The AI agent monitors Avaza events, processes customer retention tasks automatically, and writes results back to Avaza — no copy-pasting or tab-switching required.
Most users connect Avaza 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.
All data exchanged between Avaza and Arahi AI during customer retention processing is encrypted in transit and at rest. We use OAuth tokens for Avaza access, never store raw credentials, and maintain full audit logs of every customer retention action.
Yes. You define exactly which Avaza 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 Avaza.
The agent monitors usage, support interactions, payment patterns, and the engagement signals that historically precede churn in avaza. 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. avaza businesses typically recover a meaningful fraction of accounts that would otherwise have churned silently.
Yes. The customer retention agent connected to Avaza simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single customer retention workflow can pull data from Avaza, process it, and push results to multiple destinations.
No coding required. The no-code builder walks you through connecting Avaza and configuring customer retention rules visually. Your team can set up, modify, and manage Avaza-based customer retention workflows without any developer involvement.
Manual customer retention in Avaza requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling customer retention tasks in real-time as Avaza events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can create parallel customer retention workflows that respond to different Avaza events or conditions. For example, one customer retention flow for new Avaza records and another for updated ones — each with independent rules and actions.
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