Case
Payment cascade with in-house AI
Client: Service, confidential
The client's payments were failing on provider declines. We reworked the cascade and connected in-house AI so the route is chosen more accurately.
PaymentsCascadingAI
+40%
First payment
+20%
All payments
Context
What the client brought
A rigid cascade and manual priorities could not keep up with providers: the share of successful payments dropped. Routes needed to update without reshuffling methods by hand every day.
What we did
Scope of work
Audit of the cascade and fail points by method and provider
New rules for the first payment and repeat payments
In-house AI on route and priority selection
Before and after scenarios
Monitoring of successful payments after release
Impact
What changed
01
Successful first payments up 40%
02
Successful payments overall up 20%
03
The cascade updates routes on its own, without reshuffling methods by hand every day
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