Institution-specific adaptation
The platform shows how a recovery workflow can be branded and structured for a named financial institution without losing operational depth.
Recovery and Collections/admin5 screens
CABS - Debt Collection Platform
Debt recovery workspace tailored to a banking context, with debtor handling, loan products, payments, messaging, and AI operations.
Screen walkthrough
A fuller gallery for the product story.
This gallery shows progression, not just a single hero frame. Use it to talk through navigation depth, records, analytics, and workflow context during a call.
/admin
Screen 01
Primary interface capture used for the listing card and story lead.
Overview
This platform uses almost the same operational grammar as a specialist collections desk but grounds it inside a bank-branded environment. Debtors, loan products, payments, and AI operations are visible alongside collection metrics and outstanding balances.
Strongest story angle
Position it as proof that the same recovery engine can be adapted for institution-specific financial operations.
Observable modules
DashboardDebtorsLoan ProductsPaymentsMessagesAI OperationsCollections by InstitutionDebt by Status
Why this one works
Three angles worth carrying into the final write-up.
Portfolio management lens
Collected, outstanding, and debt-status views keep the story focused on book performance rather than isolated tasks.
Relevant for banking portfolio work
This case study supports pitches around recovery platforms, borrower operations, and portfolio servicing tools.
Motion outline
This sequence can still become a short teaser.
- 01
Open on the bank identity and dashboard shell.
- 02
Sweep across debtors, loan products, and payment modules with portfolio metrics.
- 03
Close on the message that this is recovery software built for institutional teams.
Next publishing pass
The structure is now cleaner: better screenshots, stronger conversion paths, and shared page chrome that behaves correctly. The next layer is adding repository-backed build notes and verified outcome data.
Still worth adding
- 1. Verified repository context for stack and architecture notes.
- 2. Approved proof points to replace generic performance language.
- 3. Short teaser renders once the repository evidence is in place.