Spot the customer who's about to leave — before they leave.
ChatGPT watches usage, billing, and support patterns across your CRM and product analytics, surfaces accounts that match your churn signature, and drafts a personalized save attempt for your CSM to review.
47 dormant accounts surfaced. First save attempt:
How does OpenAI (ChatGPT) work for customer retention automation?
OpenAI (ChatGPT) works for customer retention automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to OpenAI (ChatGPT) alongside the other apps your team already uses, watches for the triggers that matter for customer retention, and takes the next step on its own while keeping a complete audit trail for review. AI identifies at-risk customers before they leave using engagement and behavior signals. Teams typically see early before the renewal window once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
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 OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
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 @ChatGPT to spot accounts in @HubSpot that haven't logged in for 21 days, dr
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Login frequency drops, key feature usage trailing off, late or downgraded payments, support tickets with frustration patterns, and any custom signal you define. Per-account weighting is learned from your past churn cases.
Smarter. It reads the account's history and proposes an action — sometimes a personal check-in, sometimes a feature walkthrough, sometimes a renewal incentive. The CSM picks the right one or edits the suggestion.
The agent tags the case, drafts a graceful offboarding note, and surfaces the qualitative reason for your product team. You don't waste the conversation.
Native integrations with Stripe, Recurly, and Chargebee. For NetSuite or custom billing, it reads via your data warehouse.
Tunable. Most teams start with the threshold set high (~10% precision) and tighten over the first month as the agent learns from CSM feedback on each surfaced account.
Explore more AI agent solutions
Start automating Customer Retention for OpenAI (ChatGPT)
7-day free trial. Works with the tools you already use.