Скачать или смотреть The AI Policy Playbook for Debt Collectors | Sara Woggerman – ARM Compliance Business Solutions

How do you build effective AI policies in debt collection that keep regulators happy and operations efficient? 📜💡 In this must-watch episode of The AI Hub, host Adam Parks sits down with compliance powerhouse Sara Woggerman, President of ARM Compliance Business Solutions, to break down what every debt collection professional needs to know about writing and enforcing AI policies.

As the ARM industry races toward automation, agencies, law firms, and debt buyers face growing pressure to adopt AI responsibly. But without the right documentation, oversight, and vendor due diligence, innovation can quickly become a compliance risk. Sara shares actionable insights on building structured, scalable AI policies, establishing vendor oversight protocols, and ensuring human-led decision validation — all tailored to the real-world challenges facing today’s collection firms.

Whether you're rolling out conversational bots, automating dispute responses, or analyzing massive datasets with machine learning, this episode delivers the best practices for AI policy writing that will protect your reputation, satisfy regulators, and support operational growth.

👉 If you're a debt collection professional looking to stay ahead of AI legislation, regulatory scrutiny, and rapid tech innovation — this is your roadmap.

⏱️ Key Moments

00:00 – Intro: Why AI policy matters in collections today
03:40 – How to build AI governance through cross-functional teams
07:45 – The importance of vendor oversight in third-party AI tools
12:08 – Where to start with AI: Compliance vs. operations use cases
18:00 – Human oversight, validation, and statistical review of AI outcomes
25:54 – State-level AI laws, risk exposure, and proactive transparency

❓ Frequently Asked Questions

What are AI policies in debt collection?
AI policies in debt collection outline the rules and procedures governing the use of artificial intelligence tools—ensuring compliance with consumer protection laws and minimizing organizational risk.

How can I evaluate third-party AI vendors?
Focus on vendor oversight for AI tools: ask how data is used, whether it’s tokenized or shared, and require transparency into algorithmic decision-making through privacy impact assessments.

What are best practices for AI policy writing in collections?
Start with clear guardrails. Identify use cases, ensure human oversight, and include escalation pathways. Update policies quarterly to reflect evolving tech and regulatory environments.

*How can AI reduce risk in the debt collection process?
AI can minimize human error, automate compliant communications, and power smarter decision-making. But without clear oversight, it can expose firms to UDAAP violations or discriminatory outcomes.

Do regulators really care about AI in collections?
Yes. State AGs are rapidly introducing AI legislation, and regulators expect transparent documentation around how AI is used and monitored within your organization.

🔗 Explore More Resources
🌐 Watch more episodes on ReceivablesInfo:
https://ReceivablesInfo.com/ai-hub/vi...

👤 Learn more about Sara Woggerman and her company:
ARM Compliance Business Solutions: https://armcbs.com/
Connect with Sara on LinkedIn:   / sara-woggerman-crcp-173b042b  

🎥 Previous episode with Tim Collins on AI and compliance:
   • AI in Financial Services | Balancing Innov...  

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