Cabot unified three collections platforms in six months post-mergers—boosting efficiency, consistency, and customer experience across brands.
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.
Relying on manual checks or static rules is no longer enough. As portfolios grow and delinquency rates fluctuate (especially during economic downturns) staying compliant while maximizing recoveries calls for smarter, more dynamic methods.
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The combination of machine learning algorithms, natural language processing, and robotic process automation makes credit decisions quick and accurate.
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Set your organization up for long-term collections success with a strategically aligned RFP.
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