Failed Payments Drain Revenue. AI Recovers It.

AI agents that plug directly into Stripe — recovering failed payments, managing subscriptions, and surfacing revenue insights. No more manual dunning. No more silent churn. One payment, you own everything.

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Sound Familiar?

Failed Payments Bleed Revenue

A card expires. The charge fails. No one follows up for days. The customer churns without ever knowing there was a problem. That’s 5–10% of your MRR — gone quietly.

Manual Subscription Management

Upgrades, downgrades, cancellations, prorations — your team handles each one manually. It’s slow, error-prone, and doesn’t scale.

No Proactive Churn Prevention

By the time you notice a customer is leaving, they’re already gone. You have the data to predict it — but nobody’s watching.

Revenue Reporting Takes Hours

Pulling MRR, churn rates, LTV, and cohort data out of Stripe means exporting CSVs and building spreadsheets every month. It should take seconds.

What Your AI Handles in Stripe

An AI agent that monitors every Stripe event in real time and takes action — before revenue slips through the cracks.

Smart dunning — retries failed charges with optimal timing and notifies customers automatically Subscription lifecycle management — handles upgrades, downgrades, trials, and cancellations Churn prediction — flags at-risk subscribers based on payment patterns and usage signals Revenue anomaly detection — alerts you when MRR dips, refunds spike, or dispute rates climb Automated invoice generation and delivery with payment link follow-ups Refund and dispute handling — processes within policy, escalates edge cases Real-time revenue dashboards — MRR, churn, LTV, ARPU updated continuously

The Math

Failed payments cost the average SaaS business 5–10% of recurring revenue. On $100K MRR, that’s $5,000–$10,000/month walking out the door. AI-powered dunning recovers 30–50% of those failed charges automatically. Your AI costs $4,500 once — it has the potential to pay for itself in the first month.

*Illustrative example based on industry benchmarks. Actual recovery rates depend on payment failure types, customer communication, and business model.

Built for Stripe-First Businesses

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Complex Revenue Operations?

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Your AI on Stripe — In Action (illustrative scenario)

3:12 AM

A subscription renewal fails — expired card. Your AI detects the Stripe webhook, schedules an optimized retry for 6 AM, and sends the customer a friendly “update your card” email with a one-click link.

6:00 AM

Retry succeeds. The subscription stays active. The customer never churned. Revenue recovered without anyone on your team lifting a finger.

9:15 AM

Your AI flags a 15% spike in payment failures from a specific card network. You investigate before it becomes a trend — turns out a bank processor had a temporary outage.

1:30 PM

A customer requests a downgrade. Your AI handles the proration, updates the subscription in Stripe, sends a confirmation email, and logs the reason for your churn analysis.

5:00 PM

You check your dashboard. MRR is up 3.2% this month. Failed payment recovery rate: 41%. Zero manual interventions today.

Stop Losing Revenue to Failed Payments.

One 30-minute call to map out exactly how AI plugs into your Stripe account and starts recovering revenue. No pitch deck. No pressure. Just a clear answer.

30-day performance guarantee — we'll make it right.

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