Case
Payment cascading with in-house AI
Client: Operator, confidential
A LatAm operator was losing deposits on provider declines. We reworked the payment cascade and connected in-house AI so routes pick smarter and AR goes up.
PaymentsCascadingAI
+40%
AR FTD
+20%
AR total
Context
What the client brought
A rigid cascade and manual priorities could not keep up with providers: AR dropped on first deposit and across the cashier. 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 cascading rules for FTD and repeat deposits
In-house AI on route and priority selection
Before/after scenarios and tuning against AR
Monitoring of AR FTD and AR total after release
Impact
What changed
01
AR FTD up 40%
02
AR total up 20%
03
The cascade updates routes on its own, without reshuffling methods by hand every day
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