Artificial Intelligence in Debt Collection | Anna Burke of Equabli | Ep. 249

Can artificial intelligence in debt collection really improve recovery and compliance?

In this episode of Receivables Podcast, Adam Parks sits down with Anna Burke of Equabli to break down six practical AI use cases for collections—from predictive analytics to digital self-service, scoring, treatment, and even voice AI in collections.

Discover how agencies, debt buyers, and creditors can move past hype and implement AI with measurable results.

⏰ *Timestamps*

00:00 – Introduction to Anna Burke and Equabli
02:30 – AI scoring and treatment in debt collection
09:30 – Data sourcing, appending, and system integration
16:30 – Chat, written communication, and digital messaging
20:30 – Voice AI in collections: risks and opportunities
27:30 – Quality, compliance, and call monitoring with AI
32:00 – Negotiation, digital self-service, and borrower psychology
36:40 – Closing thoughts and key takeaways

❓ *Frequently Asked Questions*

*Q1: How is artificial intelligence in debt collection being used today?*
A1: According to Anna Burke of Equabli, AI in debt collection is applied in scoring, treatment, communication, and compliance, helping agencies and creditors streamline recovery.

*Q2: What role does predictive analytics in receivables play?*
A2: Anna Burke at Equabli explains that predictive analytics in receivables helps agencies and debt buyers identify the “next best action” to maximize recovery while reducing costs.

*Q3: Is voice AI in collections ready for full adoption?*
A3: Voice AI in collections is promising but still evolving. Many agencies use hybrid approaches while testing artificial intelligence in debt collection workflows.

*Supplementary Links*

*Podcast Website:* https://receivablespodcast.com/videos/artificial-intelligence-debt-collection-burke

*Guest’s Website:* https://www.equabli.com/

*Guest’s LinkedIn:* https://www.linkedin.com/in/anna-burke-b4213814/

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