Scenarios

Industry patterns. Real configurations. No invented customers.

Axiru is pre-revenue, so we do not publish made-up customer logos or fabricated savings figures. Instead, here is how Axiru is configured for the patterns we see most often in conversations with finance and ops teams. Numbers are clearly labeled as illustrative or cited to public sources.

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Pick the one that looks like you

Four operating patterns where Axiru is most useful today.

SaaSSubscriptionsShadow mode first

SaaS subscription refunds

Mid-market SaaS with self-serve and assisted billing, mixing prorated cancellations, goodwill credits, and the occasional six-figure annual refund.

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MarketplaceStripe ConnectMulti-party

Marketplace split refunds and seller chargebacks

Two-sided marketplace on Stripe Connect, where a buyer refund has to claw money back from the seller and possibly from the platform fee at the same time.

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Digital goodsFraudVelocity rules

Digital goods, instant delivery, and refund fraud

Direct-to-consumer digital goods where the product is delivered the moment payment authorizes, and where refund-after-consumption is the dominant fraud pattern.

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EnterpriseSOXDual approval

Enterprise services and SOX-style segregation of duties

Late-stage or public company where every refund over a control threshold needs two named approvers, an evidence chain, and an audit-ready export at quarter end.

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A note on honesty

Why we publish scenarios instead of fake case studies.

Most early-stage vendors paper over the absence of real customers with composite stories that read as real. We do not. Each page below describes a configuration we actually recommend, and a set of signals we actually watch. When real, named, opt-in customers exist we will publish them with their own numbers. Until then, you get the playbook.

Next step

Want to run your own scenario?

Upload the last 90 days of refund history and Axiru will simulate these policies against your real data, with no enforcement, before you change anything.

Start in shadow mode first. Move to live enforcement later.

Scenarios | Axiru | Industry patterns for outflow governance | Axiru