How do AI Employees recover failed payments before they become churn?
A payment recovery AI Employee that tracks every failed invoice on a per subscription ledger, escalates from a smart retry through a payment reminder, an update your card notice, and a final notice, alerts the revenue team on Slack, and stops the moment the invoice is paid. It never cancels, credits, or refunds.
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A failed payment isn't one event, it's the start of a countdown. Your billing system will retry automatically for a while, but a generic retry schedule doesn't know that this customer just had a fraud hold, or that another one hasn't opened an email in a week. Handled with a single blunt reminder, some customers churn who would have paid if asked the right way at the right time; handled with silence, the subscription lapses and support finds out only when the customer complains that their access disappeared. The common approaches don't hold state well. Built in retry logic is useful but generic. It doesn't loop in a human, escalate the tone as time passes, or tell the revenue team which accounts are about to fall off a cliff. A spreadsheet tracking who got which email decays within a week. And a blanket policy of 'cancel after N failures' trades a recoverable customer for a clean queue.
The payment recovery AI Employee runs hourly on a persistent session that keeps a per subscription ledger of where every failed invoice sits on the recovery ladder: smart retry, payment reminder, update your card notice, or final notice. Each run it reads the billing system for failed invoices and subscription state, advances any subscription whose wait time has elapsed to the next rung, sends the matching email, and posts a summary of everything in flight to the revenue team's Slack channel. Any subscription that pays at any point is closed out on the ledger and never contacted again. It never cancels, credits, or refunds. Those decisions stay with a named human.
See exactly how the work gets done.
Runs hourly on a persistent session
A schedule fires every hour and prompts the same session again each time. The ledger, which subscription is on which rung and when it's next due to escalate, lives in that session's memory, so it always knows what it already sent and never repeats or skips a step.
Reads failed invoices from the billing system
Through a connection with permissions you set, it reads failed invoices, subscription status, and payment method state. This is the only signal it needs to decide what happens next, covering both new failures and subscriptions already mid ladder. Credentials stay in memory, never exposed to the model.
Carries the escalation ladder as a skill
The order and timing of the ladder travel with the AI Employee as a skill: a smart retry first, then a friendly payment reminder, then a firmer update your card notice with a link to update the payment method, then a final notice, each rung gated on a minimum wait, so no customer gets two emails in the same day.
Sends the dunning email and alerts the revenue team
It sends the rung appropriate email to the customer directly. A smart retry or a dunning email is reversible and expected, so this doesn't wait for approval. It then posts to Slack what advanced today, what's now on final notice, and what recovered since the last run.
Stops at the ladder, not at cancellation
Reaching the final notice does not trigger a cancellation, a refund, or a credit. The ladder tops out there and the account sits, flagged in the Slack summary, waiting for a named human on the revenue team to decide the next step.
Closes the loop the moment it's paid
Every run checks whether a ladder subscription has since paid. The moment it has, it marks the subscription recovered, stops emailing it, and reports it in the Slack summary as a win, with no further action and no lingering reminder.
Smart retry and dunning only
The AI Employee may retry a failed charge and send the four ladder emails. It never cancels a subscription, issues a credit, or processes a refund. Those pause for a named human's signature, no exceptions.
One rung at a time
The skill enforces a minimum wait between rungs so no customer is double messaged, and every subscription escalates on its own schedule rather than everyone moving in lockstep.
Stops on payment
The moment an invoice clears, the ledger closes it out and no further email goes out.
Credentials stay protected
The billing and email credentials connect with permissions you set, stay in memory, never written to disk, never exposed to the model or the logs.
You own every rule
The ladder, the wait times, and its per system permissions are yours, versioned and changed on your terms, not in a vendor dashboard.
Failed payments that used to sit unattended until a subscription quietly lapsed now work through a consistent, escalating recovery ladder the moment they happen, with the revenue team seeing exactly what's in flight and what needs their decision. The AI Employee chases the payment; your people decide when to give up on it.
Hourly
Every failed invoice rechecked against the ladder
4 rungs
Smart retry, reminder, update card, final notice
0
Cancellations, credits, or refunds issued by the AI Employee
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
How do AI Employees process invoices the moment they land?
Extracts every invoice, matches it against POs and prior invoices, flags duplicates and overcharges, and routes for approval. It records, it never pays.
×How does YP get month end close started before your team sits down?
Walks the close checklist monthly, reconciles Billing revenue against the ledger, flags anomalies and missing docs, and posts the open items to Slack. It assembles and flags; a named human closes the books.
×How do you get reconciliation done even when no one has time?
Runs once a month against Billing, the bank feed, and the tracking sheet, matches transactions to invoices, posts a reconciled summary, and escalates every unmatched item to a named human, writing only to the sheet.
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