Technology & Innovation
Exploring cutting-edge tools and emerging tech trends that transform how the debt collection and financial services industries operate, from automation to AI-driven analytics.
The U.S. receivables industry continues to operate on infrastructure and behavioral assumptions developed decades ago. Many of these no
AI context orchestration for collections is increasingly recognized as a structural requirement rather than a technical enhancement. As artificial
Digital settlement platforms are often discussed as if they are a simple channel change, moving a negotiation from phone
Artificial intelligence is now a permanent component of debt collection operations. While early adoption focused on experimentation and proof-of-concept
The deployment of conversational AI in collections has progressed beyond experimentation. AI voice systems are now interacting with consumers,
The challenge of responding to security threats has expanded far beyond the confines of information technology departments. Across regulated
Artificial intelligence in debt collection has evolved from experimental to operational. It is no longer a future ambition and
The receivables industry is entering a critical 18-month window where AI adoption will shape operations for years to come.
The adoption of AI in receivables has accelerated, but vendor selection remains a high-stakes decision. This article outlines a compliance-first
Abstract Evaluating digital consumer journeys is about far more than user experience design. In this article, I share why
The deployment of conversational AI in collections has progressed beyond experimentation. AI voice systems are now interacting with consumers,
The challenge of responding to security threats has expanded far beyond the confines of information technology departments. Across regulated
Artificial intelligence in debt collection has evolved from experimental to operational. It is no longer a future ambition and
The receivables industry is entering a critical 18-month window where AI adoption will shape operations for years to come.
The adoption of AI in receivables has accelerated, but vendor selection remains a high-stakes decision. This article outlines a compliance-first
Abstract Evaluating digital consumer journeys is about far more than user experience design. In this article, I share why
By Adam Parks Millennials and Gen Z are changing the rules for debt collection. These digital-native generations have grown
By Michael Walsh, EXL Holdings AbstractAs artificial intelligence reshapes the debt collection landscape, operationalizing AI in a compliant, scalable, and effective
Abstract The evolution of AI in business has brought remarkable efficiencies—but it has also introduced new complexities around accuracy,
AI isn’t a future concept—it’s a journey that many collection professionals are already on. In a recent Receivables Podcast
Managing collections can make or break a creditor’s financial performance. Yet, many creditors rely on loan management systems to
Artificial intelligence (AI) transforms debt collection, creating opportunities to work smarter, not harder. From analyzing data to improving compliance,
Debt collection companies must operate with a strong technology stack to find the perfect balance of compliance and performance.
Summary: Branding Arc highlights what it takes to create a stronger podcast. The focus is on planning, production quality, promotion,
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