Auto lender rebuilt trust by replacing delayed batch processing with real-time APIs—reducing errors, improving compliance and customer confidence.
Thames Water cut bad debt 14% in seven months using tailored, multichannel outreach and customer segmentation in deregulated markets.
Northeast US bank modernized legacy collections amid 80% customer growth—improving efficiency, compliance and digital agility.
Southeast Asian fintech enabled $350M+ in loans, 80% user growth by scaling financial inclusion with secure, high-growth tech.
Phillips & Cohen scaled probate management globally across US, Canada, UK, Australia—using flexible, compassionate tech for international growth.
Maryland’s CCU modernised a 30 year old system, handling 2.7M accounts and boosting revenue 10% via digital, citizen-centric collections.
Trustmark unified siloed collections systems across five states—boosting agent access, visibility, efficiency, and scalability.
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Let's get honest about some of the common fears around implementing new collections software and how an MVP approach reduces risk for faster time-to-value.
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This article explains why credit risk management matters. You'll find its core elements, benefits, implementation hurdles, and best practices.
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This article walks through tested credit risk management strategies. You'll find everything from basic assessment methods to cutting-edge tech solutions.
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This article shows how banks create and use credit risk models. Learn about data collection methods, model selection criteria, and testing procedures.
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