『Applying AI Podcast』のカバーアート

Applying AI Podcast

Applying AI Podcast

著者: Adam Parks
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Businesses in the receivables management industry are embracing AI throughout their operations. The AI Hub podcast, generously sponsored by leading debt collection software provider Kompato, will delve into the use cases for AI in debt collection one by one to guide listeners in navigating and embracing their journey in the new and emerging technologies available in today’s marketplace.

© 2026 Applying AI Podcast
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  • Why Judge LLMs Matter for AI Guardrails in Debt Collection | Ep. 6
    2026/07/14

    Can you trust AI without someone watching it?

    Karan Sood of EXL explains why the future of enterprise AI isn't about building bigger models, but smarter systems. Learn how Judge LLMs, multi-agent AI architecture, and prompt guardrails work together to validate responses before consumers ever hear them.

    From AI models evaluating other AI models to modular system design, this conversation explores the architecture that enables compliant conversational AI.

    Listen now and subscribe for more Applying AI episodes with host Adam Parks and co-host Mike Walsh.

    Applying AI Podcast:
    https://receivablesinfo.com/applying-ai/judge-llms-ai-guardrails-exl-karan-sood

    EXL:
    https://www.exlservice.com/

    Karan Sood on LinkedIn:
    https://www.linkedin.com/in/karansood7/

    Mike Walsh on LinkedIn:
    https://www.linkedin.com/in/mike-walsh-b88b271/

    ai guardrails for debt collection,
    judge llm architecture,
    compliant conversational ai,
    intent classification for ai agents,
    multi-agent AI architecture,
    customer intent recognition,
    ai governance,
    enterprise ai,
    debt collection technology,
    applying ai podcast

    #AIGuardrails #CompliantAI #AIinCollections #DebtCollection #EXL #KaranSood

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    47 分
  • Why Collection Data Silos Are the Biggest Barrier to AI Success | Ep. 5
    2026/06/11

    Why are data silos in collections still preventing organizations from getting value from AI?

    In Episode 5 of Applying AI, Adam Parks sits down with Daniel Yakimenko and Mike Walsh from EXL to discuss how behavioral data for debt collection is often trapped across disconnected systems, limiting real-time collection decisioning and performance.

    Together, they explore how leading agencies are leveraging AI-driven collection strategies and digital engagement tracking to make smarter collection decisions. The conversation also highlights how unstructured data can reveal hidden consumer signals that improve engagement and recovery performance.

    If you're looking for best practices for collections data management and practical ways to improve collection outcomes with AI, this conversation is for you.

    Listen now and discover what your data might be trying to tell you.

    Applying AI Podcast:
    https://receivablesinfo.com/applying-ai/signals-across-data-silos-walsh-yakimenko

    EXL Website:
    https://www.exlservice.com/

    Daniel Yakimenko LinkedIn:
    https://www.linkedin.com/in/daniel-yakimenko-343b3b16/

    Mike Walsh LinkedIn:
    https://www.linkedin.com/in/mike-walsh-b88b271/

    data silos in collections,
    behavioral data for debt collection,
    AI-driven collection strategy,
    real-time collection decisioning,
    unstructured data in receivables management,
    collection data management,
    digital engagement tracking,
    debt collection technology,
    collections analytics,
    consumer engagement strategy

    #DataSilosInCollections #DanielYakimenko #AICollectionStrategy

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    49 分
  • AI Governance and Consumer Protection in Modern Collections | Ep. 4
    2026/05/14

    AI compliance in debt collection is moving from theory to operational reality.

    In this episode of Applying AI, Sara Burton (Woggerman) of ARM Compliance Business Solutions breaks down agentic AI in collections, human supervision for AI-powered collections, and why AI governance will define the future of consumer protection in financial services.

    We also discuss AI audit trails for financial services, bot-to-bot debt collection interactions, and how organizations can explain AI-driven decisions to regulators before compliance risks become enforcement actions.

    Listen now and subscribe for more practical artificial intelligence strategies for receivables professionals.

    Applying AI Podcast:
    https://receivablesinfo.com/applying-ai/ai-compliance-debt-collection-burton

    ARM Compliance Business Solutions:
    https://armcbs.com/

    Sara Burton (Woggerman) LinkedIn:
    https://www.linkedin.com/in/sara-burton-crcp-173b042b/

    EXL Website:
    https://www.exlservice.com/

    Mike Walsh LinkedIn:
    https://www.linkedin.com/in/mike-walsh-b88b271/

    AI compliance in debt collection,
    agentic AI in collections,
    consumer protection and AI governance,
    human supervision for AI collections,
    AI audit trails for financial services,
    bot to bot debt collection interactions,
    AI quality assurance for collection agencies,
    financial services compliance,
    debt collection technology,
    receivables management

    #AICompliance #SaraBurton #AgenticAIInCollections

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    53 分
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