Use case
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Churn Prevention Agent
Predict customer churn before the renewal
Find churn risk while there is still time to act. The agent catches the events that come before a cancellation, names the root cause, and drafts a save play your team approves.
The problem
Most churn is a surprise only on paper. The champion left two months ago, usage fell off a cliff, a severity-one ticket sat open, and nobody connected the dots because each signal lives in a different tool. By the time the renewal comes up, the customer has already decided. Customer churn prediction fails when it is one opaque number reviewed once a quarter instead of evidence watched every week.
How the agent does it
Join every account's evidence. Pulls usage, relationship, support, commercial, and outcome evidence for each active account into one row, with its lifecycle situation.
Catch urgent churn events. Flags a departed champion, a sharp usage drop, a detractor response, a severity-one ticket, or an onboarding overrun, whatever the overall score says.
Diagnose the root cause. Names why each red account is at risk: value never delivered, value plateaued, champion lost, product gap, support failure, budget cut, or wrong fit.
Triage rescue or renewal risk. Uses days to renewal to decide whether the account needs a rescue now or a renewal-risk plan.
Draft the save play. Writes a cause-specific save play with owners, dates, and success signals, and holds it for your approval.
What you get
A short red list with the cause, mode, and first action for each account
This week's urgent churn events, each with a deadline and owner
A save play per red account with owners, dates, and success signals
Short autopsies of recent churn showing what the signals missed
Works with
HubSpot
Salesforce
Attio
Outlook
Slack
Google Calendar
Outlook Calendar
Gmail (optional, through Annex)
Questions
How do you predict customer churn?
Watch the events that come before churn rather than waiting for a renewal conversation: a champion leaving, a sharp usage drop, a detractor survey response, a severity-one ticket, or a stalled onboarding. The agent checks for these weekly across the active book and immediately when a high-severity event appears, then explains the likely cause for each account it flags.
How does this help reduce customer churn, not just report it?
Every red account comes with a diagnosed cause and a save play matched to it, so a lost champion gets a different plan than a product gap or a budget cut. Each play names owners, dates, and the signals that would show it is working.
Will the agent contact customers on its own?
No. Reading sources, diagnosing, and drafting need no approval, but customer or executive outreach, commercial offers, CRM field changes, and tasks for other people all wait for your approval. A risk flag never changes pricing, support tier, or terms without a person reviewing it.
How do I get started?
Connect your CRM and the channels where customers are managed, add usage and support context through connected sources or approved exports, and name an owner per account. Hire the agent from this page, connect your tools, and it starts working. You start free with some free AI usage; after that, plans are $49/month, refundable within 7 days.
Hire this agent and see its first result today
Connect your tools, review what it prepares, and approve every change before it happens. Start free.