What does a real Business AI Adoption Journey look like once you move beyond basic prompting?

This time, Mike Walsh of EXL turns the questions on Adam Parks of Receivables Info to explore how Adam’s own approach to AI has evolved.

They talk about using AI to automate business operations, scale productivity, choose the right tools, and build practical solutions for financial services. Adam also shares the work behind a consumer stress index he’s developing using public data.

Tune in for a practical conversation about experimenting with AI, learning what works, and finding ideas you can apply to your own journey.

Applying AI Podcast Overview:
https://receivablesinfo.com/applying-ai/business-ai-adoption-journey-parks

Receivables Info:
https://receivablesinfo.com/

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

Adam Parks on LinkedIn:
https://www.linkedin.com/in/adamparks/

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

business AI adoption journey,
AI automation for business operations,
consumer stress index methodology,
AI tools for receivables leaders,
strategies for scaling AI productivity,
AI tool selection for financial services,
financial stress signals for consumers

#BusinessAI #AIAutomation #AIAdoption #AISkills #ArtificialIntelligence

The AI sales cycle in debt collection is moving fast, but fast doesn’t always mean ready.

Adam Parks sits down with DJ Perry of TEC Services Group and Mike Walsh of EXL Service Holdings to unpack what selling AI actually looks like today. They explore changing buying decisions, AI implementation readiness, pilots and POCs, and how sales teams are using AI for research, CRM insights, and productivity without automating away the relationships that make great sales work.

Listen to learn more about what’s changing in AI sales and which fundamentals still matter.

Podcast Episode:
https://receivablesinfo.com/applying-ai/ai-sales-cycle-receivables-dj-perry

TEC Services Group:
https://www.tecsg.com/

DJ Perry on LinkedIn:
https://www.linkedin.com/in/perrydj/

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

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

ai sales cycle in debt collection
selling AI to collection agencies
ai sales strategy for receivables
ai implementation readiness
ai sales productivity
ai proof of concept strategy
consultative selling with ai
debt collection technology
receivables management

#AISalesCycle #ArtificialIntelligence #AIinCollections #SalesCycle #SalesAutomation #AIReadiness

Kristyn Leffler of Resurgent Capital Services explains how ecommerce strategies can help debt collectors understand where consumers disengage, identify more effective payment offers, and use digital behavior to guide future interactions.

The episode further examines digital trust, how AI can improve offer selection and self-service experiences, and how bot-to-bot negotiation could shape the future of debt collection.

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

Applying AI Podcast:
https://receivablesinfo.com/applying-ai/videos/ecommerce-debt-collection-leffler

Resurgent Capital Services Website:
https://www.resurgent.com/

Kristyn Leffler LinkedIn:
https://www.linkedin.com/in/kristynbradyleffler/

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

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

ecommerce strategies for debt collection,
consumer payment behavior analytics,
digital trust in debt collection,
consumer ai agents in collections,
bot to bot debt negotiation,
ai in receivables,
digital debt collection,
Kristyn Leffler,
Resurgent Capital Services

#EcommerceStrategies #AIinCollections #ApplyingAIPodcast #ConsumerBehavior #DigitalTrust

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

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

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

Are AI-powered solutions really reshaping M&A in collections?

In this episode, Adam Parks sits down with Michael Lamm of Corporate Advisory Solutions and Mike Walsh of EXL to explore how AI is redefining valuation in the collections industry. The discussion covers AI compliance challenges in debt collection, enhancing agent performance with AI copilots, and what leaders must do to stay competitive.

Listen now for practical insights shaping the future of the industry.

Episode link: https://receivablesinfo.com/applying-ai/ai-ma-strategy-financial-services

Corporate Advisory Solutions Website: https://corpadvisorysolutions.com/

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

Michael Lamm LinkedIn: https://www.linkedin.com/in/michaellamm/

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

AI driven industry bifurcation and M&A,
build vs buy AI solutions in financial services,
operational efficiency vs cost saving,
future of the collections workforce with artificial intelligence,
AI compliance challenges in debt collection,
AI tools for collection agency efficiency
#Hashtags

#AIdrivenma #MichaelLamm #collectionstech

Can AI really transform collections if the data behind it is flawed?

In this episode of Applying AI, Adam Parks sits down with Mike Walsh from EXL and Manny Plasencia from TransUnion to explore why data to fuel AI in collections is the real driver of performance.

They break down how data decay impacts AI decision making, why AI acts as an amplifier of existing data quality, and how organizations can strengthen data foundations before scaling automation. You’ll also hear practical perspectives on how to improve data quality for AI in collections.

Listen now and subscribe for more real-world AI insights shaping receivables management.

Podcast Website:
https://receivablesinfo.com/applying-ai/data-fuel-ai-collections-plasencia-walsh

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

TransUnion Website:
https://www.transunion.com/

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

Manny Plasencia LinkedIn:
https://www.linkedin.com/in/manny-plasencia-69562631/

Adam Parks LinkedIn:
https://www.linkedin.com/in/adamparks/

artificial intelligence in collections,
data driven collections strategy,
machine learning in receivables management,
data quality for ai decisioning,
right party contact optimization,
receivables analytics,
ai strategy for debt collection

#datafuelai #mikewalsh #mannyplasencia #aicollections