Technological advancements are reshaping the landscape of credit risk management and collections. AI and machine learning are trailblazers in providing convenient and efficient collections experiences. But that said, the human element is still vital in nurturing those customer relationships and providing humanized financial support.
In this article, we explore the future of credit risk management from a podcast conversation between Christina Fisher (Manager, Growth Marketing) of C&R Software and Sean Delaney (Senior Credit & Risk Manager) of McCormick & Company.
Traditional credit risk management is labor-intensive and slow with legacy systems involving manual processes such as faxing references and even using tools like Excel for calculations. From using these outdated methods, the turnaround time for credit applications can last as long as several days. Fortunately, the industry is undergoing a paradigm shift towards digital processes, dramatically reducing response times to mere minutes to provide faster decision-making and improving operational efficiency.
AI and machine learning have begun to make their mark in credit risk management. The implementation of decision engines and automated workflows enhance both the speed and accuracy of credit evaluations. They also automate routine tasks and standardize decision-making processes, reducing the potential for human error and ensuring consistency across large volumes of applications. As a result, teams have plenty more time to invest in customer support and guiding them to financial stability.
Despite the strides in technology, the human element remains irreplaceable, particularly in cases where individual customers are facing challenging situations. Where AI and machine learning can automate a lot of manual processes, many customers need a direct approach to reach a resolution. Whether it’s a simple phone call or arranging a face-to-face meeting, the human element is still integral to humanized collections.
The future of credit risk management requires a blend of technology and human support, along with flexibility and efficiency in how each is implemented in the collections journey. Configurable platforms offer the capabilities to harness modern technologies like AI and machine learning while maintaining that all important human touch.
The integration of AI and machine learning into credit risk management is inevitable and transformative. These technologies streamline operations and improve decision accuracy, but have to be integrated in the right way to maintain the human perspective that leads to nurturing those all important customer relationships
C&R Software's Debt Manager provides a robust platform that supports the entire debt lifecycle. It incorporates advanced AI capabilities to automate and enhance decision-making processes, ensuring high performance and compliance across credit operations. Simply put, Debt Manager makes it simple to balance technology and human support to enhance collections performance.
To find out more details about the conversation between Christina and Sean, watch the podcast here. To discover how Debt Manager can empower your organization to manage credit risk more effectively and efficiently, visit C&R Software’s website or contact our experts today.