Macha

Detect and Flag Failed Payments Before They Become Churn

Abbas, Customer Support & AI, Macha

Written by

Ankeet Guha, Co-founder & CTO, Macha

Reviewed by

Published July 28, 2026

Updated July 28, 2026

Most cancellations are loud. The customer clicks "cancel," fills in a reason, maybe replies to a save email. Failed payments are the opposite — they're silent. A card expires, a charge declines for insufficient funds, a bank flags the transaction, and unless someone is watching the Stripe dashboard, nobody finds out until the customer has quietly lapsed and the renewal never came through.

Detect and Flag Failed Payments Before They Become Churn

That silent leak has a name: involuntary churn. It's the slice of lost revenue that has nothing to do with whether customers like your product. Stripe's own Involuntary churn 101 guidance traces it to "expired credit cards, declined transactions and bank errors" — the mundane payment mechanics that fail without anyone deciding to leave. Industry estimates from teams that live in this data put failed-payment churn at roughly 20–40% of total churn (Dodo Payments) and around 9% of MRR, with payment-failure rates that "hover between 5% and 15% across the industry" (Baremetrics) — and, encouragingly, 30–70% of it is recoverable with the right process (Freemius).

The whole game is speed. A failed payment surfaced within minutes is a quick "hey, can you update your card?" A failed payment discovered three weeks later is a lost account — and the gap between those two outcomes is enormous. Businesses with no recovery process reclaim only about 15% of failed payments on their own, while the industry median recovery rate sits near 47.6% and layered, fast-acting programs reach 70–85% (Slicker). Dunning works best when it fires in the first 72 hours of a failure, which is exactly why a real-time alert — not a weekly Stripe export — is the part most teams are missing.

This is a textbook job for an AI agent that sits on top of your stack. Macha watches Stripe, and the moment a payment fails it pulls the customer's context and posts a failed payment alert straight into Slack — with the amount, the failure reason, the history, and a suggested next step — so the right person can act before the window closes.

Where Macha fits: Macha isn't a billing platform or a dunning tool, and it doesn't replace Stripe. It's an AI agent layer on top of the tools you already run — Stripe, Slack, and your helpdesk — that connects the dots between a payment event and a human who can fix it. Stripe handles the money; Macha handles the noticing.

What the agent actually does

The shape of this use case is small and reliable, which is exactly why it works. One trigger, a couple of lookups, one message:

  1. Trigger — a payment fails in Stripe. A charge declines, an invoice can't be collected, a subscription renewal bounces.
  2. Get context. The agent calls Stripe's Get Customer and Get Payment tools to pull who the customer is, what they pay, how long they've been around, and whether this has happened before.
  3. Flag it. The agent composes a clean, human-readable alert and posts it to Slack with Send Message — to a dedicated channel or a DM to the account owner.

Here's the alert a teammate would see, built from the real fields the agent collects:

⚠️ Payment Failed • Customer: Maria Chen ([email protected]) • Amount: $99.00 — Pro Monthly • Reason: Card declined (insufficient funds) • Previous failures: 2 in the last 30 days This is a high-value customer (8 months active). Consider reaching out directly.

That last line is the difference between a raw webhook dump and an agent. Anyone can pipe a Stripe event into Slack. The point here is that the message arrives already triaged — amount, reason, customer tenure, repeat-failure pattern, and a recommendation — so the person reading it doesn't have to open three tabs to decide whether it matters.

Wiring it up in Macha

Two connectors and one agent. Nothing here requires code.

1. Connect Stripe and Slack

Under Connectors, you add Stripe (API key) and Slack (OAuth). Once they're live, the agent can read payments and customers from Stripe and post to any channel it has access to in Slack.

The Macha Connectors screen with Stripe connected via API key and Slack available alongside Zendesk, Front, and the rest of the integration library.
The Macha Connectors screen with Stripe connected via API key and Slack available alongside Zendesk, Front, and the rest of the integration library.

Stripe brings the read tools this use case needs — Get Customer, Search Customers, List Payments, Get Payment — plus write tools like Create Refund and Create Charge if you later want the agent to act rather than just alert. Slack brings Send Message (and Reply in Thread, List Channels, and friends). You can see the full tool list on the Stripe integration page and the Slack integration page.

2. Build the billing agent

Create an agent whose whole job is watching billing. In the example below it's called Billing Escalations — its instructions tell it to monitor billing-related events, identify payment problems, and escalate the ones that matter.

Macha's agent builder showing a
Macha's agent builder showing a "Billing Escalations" agent — handle @billingEscalations, model GPT-5, with Instructions, Triggers, Tools, Data Sources, and Sub-Agents sections.

The model badge in the corner (here GPT-5) is what determines the per-message credit cost — Macha bills credits per AI action, ranging from roughly 0.5 to 9 credits depending on the model, with the default GPT-5.4 Mini at 1 credit. For a short, structured alert like this you almost never need a heavyweight model; a small fast model formats the card perfectly well and keeps the cost near the floor. See pricing for the full credit breakdown.

3. Choose how the failure reaches the agent

This is the one decision worth thinking about. Stripe sends payment events, but there are two clean ways to get them into Macha, and the right one depends on how real-time you need to be.

Option A — event-driven (Custom Webhook Trigger). Add a Custom Webhook Trigger to the agent and Macha generates a URL you can call from any external system. Point a Stripe webhook for invoice.payment_failed (or charge.failed) at that URL, and the agent fires the instant Stripe reports the failure. This is the lowest-latency option and the one to use when minutes matter.

Macha's Add Triggers panel filtered to
Macha's Add Triggers panel filtered to "webhook," showing the Custom Webhook Trigger that generates a URL any external system — including a Stripe webhook — can call.

Option B — polling (Scheduled Run). If you'd rather not stand up a webhook, add a Scheduled Run trigger and have the agent sweep Stripe on a recurring schedule — say hourly — using List Payments to find anything that failed since the last sweep, then alert on each. Slightly higher latency, zero external setup.

Macha's Add Triggers panel filtered to
Macha's Add Triggers panel filtered to "schedule," showing the Scheduled Run trigger that runs the agent automatically on a recurring schedule (hourly, daily, etc.).

For most teams the webhook is the better default — it's the difference between "we knew in 90 seconds" and "we knew at the top of the hour." If your billing volume is low and a one-hour delay is fine, the scheduled run is simpler to maintain.

Beyond the alert: the agent can keep going

The base use case stops at flagging, and for a lot of teams that's the whole point — surface it to a human, let the human decide. But because Macha agents can take actions, not just notify, you can extend the same agent as far as your process allows:

  • Triage before alerting. Only ping the channel for failures above a dollar threshold, or for customers past a certain tenure, so high-value accounts (like Maria, 8 months in) get a louder signal than a $9 trial that lapsed.
  • Open a ticket. If you run Zendesk, Freshdesk, Gorgias, or Front through Macha, the agent can create or annotate a ticket so the failure is tracked in your support queue, not just a Slack scroll-back. This pairs naturally with the same agent fielding inbound billing questions — see handling subscription billing questions.
  • Refund or re-run on confirmation. When a duplicate or erroneous charge is the cause, the same Stripe tools can resolve it — covered in processing refund requests automatically and resolving duplicate charges and failed payments with AI.
  • Reply in thread on follow-up. Use Reply in Thread so a customer's repeated failures collapse into one conversation instead of spamming the channel.
  • Draft the outreach. Have the agent draft the "your card on file was declined" message for a human to review and send.

You can also drive any of this conversationally — the Billing Escalations agent has a chat tab where you can ask it to handle a payment notice or look up a customer's billing history on demand.

The chat view for the Billing Escalations agent with starter prompts like
The chat view for the Billing Escalations agent with starter prompts like "Handle payment notice" and "Escalate invoice question."

A word of caution worth stating plainly: keep the money-moving actions human-approved. Reading payments and posting alerts is safe to automate end to end. Creating charges or issuing refunds is not — those should stay behind a human click, or at minimum behind a strict, narrowly-scoped instruction. The agent is there to make the failure impossible to miss, not to silently retry money on its own.

When this is the wrong tool

Honesty beat: a Slack alert is not a dunning system, and you shouldn't pretend it is.

  • If you need automated retries and a dunning email sequence, that lives in Stripe Billing's Smart Retries or a dedicated recovery tool. Macha alerts the team; it doesn't run the retry cadence. The two are complementary — let Stripe retry automatically, and let Macha flag the failures a human should personally chase.
  • If your failed-payment volume is in the hundreds per day, a Slack channel becomes noise. At that scale you want aggregation and a dashboard, with Macha alerting only on the high-value exceptions you've defined.
  • If nobody owns the alert, it won't help. An alert that lands in a channel no one watches is the same as no alert. Route it to a named owner via DM, or into your ticketing queue where it has an SLA.

Used for what it's good at — making a small, time-sensitive, high-leverage event visible to the right human in near-real-time — this is one of the highest-ROI agents you can stand up in an afternoon.

FAQ

Does Macha replace Stripe's billing or dunning? No. Macha sits on top of Stripe. Stripe still processes payments and can still run Smart Retries; Macha's job is to detect a failure, enrich it with customer context, and put it in front of a human in Slack (or your helpdesk) fast.

How does Macha know a payment failed? Two ways. Either Stripe pushes the event to a Custom Webhook Trigger URL Macha generates (event-driven, lowest latency), or a Scheduled Run agent polls Stripe's payments on a recurring schedule and alerts on new failures.

What goes into the Slack alert? Whatever the agent reads from Stripe — typically customer name and email, amount and plan, the decline reason, and prior failure count — plus a recommendation the agent writes based on your instructions (e.g. flagging long-tenure or high-value accounts).

Can the agent retry or refund the payment automatically? It can call Stripe's Create Charge and Create Refund tools, but we strongly recommend keeping money-moving actions human-approved. Use the agent to detect and recommend; let a person pull the trigger.

What does it cost to run? Macha bills credits per AI action — about 0.5–9 credits depending on the model, default GPT-5.4 Mini at 1 credit. A short alert is a single cheap action, so even a high-failure week is inexpensive. See the pricing page for details.

Stand it up

If failed payments are leaking out of your business without anyone noticing, this is the agent to build first — small surface area, fast payback. Start a 7-day free trial, no credit card required, connect Stripe and Slack, point a webhook at your billing agent, and the next declined charge will land in your team's channel with a name on it. Browse more use cases for billing and beyond, or read the docs for the full trigger-and-tools walkthrough.


Written by Abbas (Customer Support & AI, Macha) · Reviewed by Ankeet Guha (Co-founder & CTO) · Published 2026-06-24 · Last updated 2026-06-24.

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Macha is an AI agent platform that works on top of the help desk you already use — Zendesk, Freshdesk, Gorgias, or Front — and connects to the rest of your stack, even your own internal systems. Its AI agents resolve tickets and automate entire workflows end to end, all set up in plain English, no code. Learn more about Macha →

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