The Consumer Side of AI in Debt Collection | Ep. 285

The Consumer Side of AI in Debt Collection | Ep. 285

Consumer AI in receivables is moving from theory to real operational risk. In our latest episode, Adam Parks sits down with Leslie Bender to explore how consumer use of AI is creating new questions for debt collection, compliance, disputes, litigation, and consumer engagement. From pro se litigants and AI hallucinations to bots, regulatory concerns, and the future of consumer communication, Leslie shares what receivables leaders should be watching as AI becomes part of both sides of the conversation. Listen now and subscribe for more conversations shaping the future of debt collections. Podcast overview: https://receivablespodcast.com/videos/consumer-ai-debt-collection-bender [https://receivablespodcast.com/videos/consumer-ai-debt-collection-bender] Eversheds Sutherland Website: https://www.eversheds-sutherland.com/en/united-states [https://www.eversheds-sutherland.com/en/united-states] Leslie Bender LinkedIn: https://www.linkedin.com/in/lescbender/ [https://www.linkedin.com/in/lescbender/] consumer AI in receivables,  consumer bots and debt collectors,  AI-generated consumer complaints,  pro se debt collection litigation,  consumer bot authentication risk,  collections call center AI risk,  AI and consumer financial protection,  debt collection compliance,  receivables management,  consumer finance compliance #consumeraiinreceivables #lesliebender #debtcollectioncompliance Thanks for listening! Follow Us On LinkedIn [https://www.linkedin.com/company/receivables-info/], Facebook [https://www.facebook.com/ReceivablesInfo/] & Youtube [https://www.youtube.com/@receivablesinfo]

How Machine Learning Is Transforming Debt Collection Consumer Engagement | Ep. 284

How is machine learning in debt collection changing the future of consumer engagement? In this episode, Adam Parks talks with Ohad Samet, Founder of TrueAccord and CEO of TrueML, about machine learning in collections, reinforcement learning systems, and how behavioral analytics are helping organizations personalize collections strategies at scale. Ohad also shares insights on digital communication, consumer behavior shifts, LLMs, bot-to-bot interactions, and the growing role of AI across debt settlement, servicing, and compliance workflows. Listen now and subscribe for more conversations shaping the future of collections and consumer engagement.   Podcast Overview: https://receivablespodcast.com/videos/machine-learning-debt-collection-ohad-samet [https://receivablespodcast.com/videos/machine-learning-debt-collections-ohad-samet] TrueAccord Website: https://www.trueaccord.com/ [https://www.trueaccord.com/] TrueML Website: https://trueml.co/ [https://trueml.co/] Ohad Samet LinkedIn: https://www.linkedin.com/in/osamet/ [https://www.linkedin.com/in/osamet/] machine learning in debt collection, consumer engagement in receivables management, reinforcement learning in collections, AI-powered collections decision engine, digital debt collection strategy #AIDebtCollection #OhadSamet #ReceivablesManagement Thanks for listening! Follow Us On LinkedIn [https://www.linkedin.com/company/receivables-info/], Facebook [https://www.facebook.com/ReceivablesInfo/] & Youtube [https://www.youtube.com/@receivablesinfo]

How AI-Enabled Debt Collection Operations Are Reshaping BPO | Ep. 283

Is AI really changing the future of global BPO strategy for collections? In this episode, Adam Parks sits down with Saket Sahoo of Connect BPS to discuss offshore collections operating models, AI copilot tools for collectors, and why empathy may become the biggest differentiator in modern receivables outsourcing. Saket shares real-world insights on scaling collections operations globally while balancing compliance, customer experience, and evolving FTC concerns around offshore servicing. If you work in collections, debt buying, or financial services operations, this conversation delivers practical perspectives on where the industry is heading next. Listen now and explore more conversations shaping the future of receivables management. Podcast Overview: https://receivablespodcast.com/videos/global-bpo-strategy-collections-sahoo [https://receivablespodcast.com/videos/global-bpo-strategy-collections-sahoo] Connect BPS Website: https://www.connectbps.com/ [https://www.connectbps.com/] Saket Sahoo LinkedIn: https://www.linkedin.com/in/saketsahoo/ [https://www.linkedin.com/in/saketsahoo/] global BPO strategy for collections, AI-enabled debt collection operations, offshore collections operating model, future of receivables outsourcing, empathetic customer experience in collections, AI Copilot tools for collectors, best practices for offshore collections, how FTC regulations affect offshore collections #GlobalBPOStrategy #SaketSahoo #DebtCollectionOperations #BPOOperations #OffshoreOperations Thanks for listening! Follow Us On LinkedIn [https://www.linkedin.com/company/receivables-info/], Facebook [https://www.facebook.com/ReceivablesInfo/] & Youtube [https://www.youtube.com/@receivablesinfo]

Building a Human Powered Digital Collections Model with Jason Hinkle | Ep. 282

Can a digital first collections strategy improve recovery while keeping the human touch? Adam Parks sits down with Jason Hinkle of Shepherd Outsourcing, LLC to explore how agencies are building data driven collections operations that combine technology with skilled collectors. They discuss omnichannel debt collection strategy, CRM systems for debt collection agencies, and how to train modern debt collectors to operate effectively across digital channels. If you're modernizing agency operations, this conversation offers practical insight. Listen now and explore more episodes at ReceivablesPodcast.com. Podcast Website: https://receivablespodcast.com/videos/digital-first-collections-strategy-hinkle [https://receivablespodcast.com/videos/digital-first-collections-strategy-hinkle] Guest Website: https://www.shepherdoutsourcing.com/ [https://www.shepherdoutsourcing.com/?utm_source=chatgpt.com] Guest LinkedIn: https://www.linkedin.com/in/jasonchinkle/ [https://www.linkedin.com/in/jasonchinkle/] digital collections strategy, omnichannel debt collection strategy, data driven collections operations, collection agency technology strategy, crm systems for debt collection agencies, modern debt collectors training, receivables management strategy #digitalfirstcollectionsstrategy #jasonhinkle #omnichannelcollections Thanks for listening! Follow Us On LinkedIn [https://www.linkedin.com/company/receivables-info/], Facebook [https://www.facebook.com/ReceivablesInfo/] & Youtube [https://www.youtube.com/@receivablesinfo]

Best Practices for Testing New Data Sources | Prince Matharu | Ep. 281

How to test new data vendors in debt collection without wasting budget or chasing meaningless hit rates? In this episode of Receivables Podcast, Prince Matharu of TEC Services Group walks through a practical data experimentation framework in collections built on a simple idea: hypothesize, experiment, measure, report. He breaks down multi vendor data strategy for receivables, how to measure contact rate improvement in collections, and why data is quickly becoming a competitive advantage in receivables. If you lead operations, analytics, or portfolio performance, this is a process you can apply immediately. Listen in and subscribe for more actionable receivables strategy at ReceivablesPodcast.com. Podcast Website: https://receivablespodcast.com/videos/how-test-new-data-vendors-matharu [https://receivablespodcast.com/videos/how-test-new-data-vendors-matharu] Guest Website: https://www.tecsg.com/ [https://www.tecsg.com/] Guest LinkedIn: https://www.linkedin.com/in/prince-matharu-ab5896170/ [https://www.linkedin.com/in/prince-matharu-ab5896170/] how to test new data vendors in debt collection, data experimentation framework in collections, multi vendor data strategy for receivables, measure contact rate improvement in collections, data as competitive advantage in receivables #howtotestnewdatavendorsindebtcollection #princematharu #dataexperimentationframeworkincollections Thanks for listening! Follow Us On LinkedIn [https://www.linkedin.com/company/receivables-info/], Facebook [https://www.facebook.com/ReceivablesInfo/] & Youtube [https://www.youtube.com/@receivablesinfo]