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Transforming bank collections: Balancing AI innovation with legacy system realities

Transforming bank collections: Balancing AI innovation with legacy system realities
  14 min
Transforming bank collections: Balancing AI innovation with legacy system realities
Collecting Thoughts
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In this episode of Collecting Thoughts, I explore the complexities of integrating AI into bank collections while managing the challenges posed by legacy systems. Many financial institutions express a desire to lead with AI but struggle with outdated architectures that hinder real-time data sharing and decision-making. I delve into the importance of creating a unified data layer and implementing a central orchestration platform that allows banks to leverage AI effectively without overhauling existing systems. We also discuss the significance of governance and building internal capabilities to support AI initiatives. Join me as I outline a pragmatic path forward for collections leaders looking to balance innovation with the realities of their legacy environments, ultimately enhancing both operational efficiency and customer outcomes.

About the author

Naeem Abraham

Naeem Abraham is leading the charge to implement our decision management tool: FitLogic. With prior experience at a top EMEA bank, Naeem’s expertise lies in credit management, data-driven decisioning, and utilizing AI/ML to improve collections performance.

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