Why build it yourself sounds better than it works
Explore the pitfalls of DIY AI in enterprise debt collections and learn how to avoid common traps when scaling solutions.
Explore the pitfalls of DIY AI in enterprise debt collections and learn how to avoid common traps when scaling solutions.
Discover how disciplined data management and clear thresholds make AI models reliable, auditable, and effective in credit and collections, enhancing both customer experience and operational outcomes.
AI in collections enhances human efficiency by automating routine tasks, enabling teams to focus on more impactful work and improving overall performance without losing the human touch.
AI in debt collection is transforming the industry by integrating analytics, decision-making, and digital communication into operational workflows. The key to sustainable advantage lies in disciplined implementation and effective human-AI collaboration.
With the right collections systems in place, you can safeguard trust, meet regulatory expectations, and protect your long-term reputation.
C&R Software announces the opening of a new office in Santiago, Chile, to better serve clients across Latin America.
This article shows how banks create and use credit risk models. Learn about data collection methods, model selection criteria, and testing procedures.
Quickly access and manage accounts in Debt Manager without leaving your main CRM.
Find out how financial services institutions can start using the collections process as a method of boosting customer loyalty.
The debt collection industry is shifting towards a customer centric approach, with businesses increasingly placing their customers’ experiences at the center of all processes.
New integration provides better visibility to make more accurate decisions
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