Agentic AI systems present quality assurance challenges for financial institutions due to their difficulty in providing clear explanations for autonomous decisions. The “explanation problem” poses potential risks for banks implementing these systems, as regulatory compliance and customer transparency requirements may be complicated by AI agents that cannot adequately justify their actions. Financial organizations are grappling with how to implement agentic AI while maintaining accountability standards in their operations.