Episode
Agentic AI in Consumer Financial Services: Opportunities, Risks, and Emerging Legal Frameworks
- Podcast
- Consumer Finance Monitor
- Published
- Mar 12, 2026
- Duration seconds
- 3558
- Processing state
not_requested
Actions
POST https://stenobird.com/v1/public/podcasts/consumer-finance-monitor-71869/episodes/agentic-ai-in-consumer-financial-services-opportunities-risks-and-emerging-legal-frameworks/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/consumer-finance-monitor-71869/agentic-ai-in-consumer-financial-services-opportunities-risks-and-emerging-legal-frameworks.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
Artificial intelligence is rapidly transforming the consumer financial services industry. From underwriting and fraud detection to customer engagement and collections, financial institutions are increasingly deploying advanced AI tools to automate processes, personalize services, and improve operational efficiency. We are releasing today, on our Consumer Finance Monitor Podcast show, a discussion of what may be the next major technological shift for the industry: Agentic AI in Consumer Financial Services — AI systems capable of acting autonomously, making decisions, and interacting directly with consumers. The discussion featured Professor Oren Bar-Gill of New York University School of Law, along with Ballard Spahr partners Joseph Schuster and Adam Maarec. The discussion was hosted by Alan Kaplinsky, the founder and practice group leader for 25 years of the Consumer Financial Services Group and now Senior Counsel. The panel examined how agentic AI differs from earlier forms of automation, the benefits it offers financial institutions and consumers, and the significant legal and regulatory risks it may create. Below are the key takeaways from the discussion. What Is Agentic AI? Agentic AI refers to AI systems that can independently take actions on behalf of users or organizations. Unlike traditional automation, which performs predefined tasks, or generative AI, which primarily produces content, agentic AI systems can: · Make autonomous decisions · Interact directly with consumers · Initiate actions such as transactions or communications · Learn from prior interactions In financial services, these systems may soon conduct customer service interactions, initiate collections calls, execute payments, or manage purchasing tasks for consumers. While these capabilities promise…