What happens when AI systems move from making recommendations to taking action? In a new CDT brief, Ruchika Joshi examines how financial institutions are exploring agentic AI for customer service, payments, investment research, lending, fraud prevention, and more.
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Agentic AI in Financial Services: Emerging Uses, Risks, and Policy Considerations - Center for Democracy and Technology
Financial institutions are increasingly deploying advanced AI systems to improve service delivery to customers, supporting internal operations, and improving efficiency. These systems aim to support tasks related to customer service, fraud detection, investment analysis, and loan processing. Such developments warrant close examination because decisions made in the financial services industry affect high stakes issues including people's access to credit, the interest rates they're offered, and fraud detection determinations that can risk freezing their accounts.