Pay By Bank

• Merchants and Retailers using AI in customer-facing, fraud prevention, or operational systems.
• Payment Service Providers, Acquirers, and Processors deploying or supplying AI-enabled systems across the payments ecosystem.
• Banks and Financial Institutions assessing AI use across payments, fraud prevention, and credit-related decisioning.
• Fraud, Risk, and Compliance Professionals responsible for evaluating AI-related risks, regulatory obligations, and internal controls.
• Legal, Product, Procurement, and Governance Teams involved in AI implementation, vendor oversight, documentation, and organizational policies.

• Describe the purpose, scope, structure, and phased implementation of the EU AI Act.
• Distinguish the principal AI risk categories and organizational roles under the Act.
• Explain how common payments, fraud, merchant risk, customer service, and credit-related AI use cases may be treated differently.
• Identify factors that may increase regulatory obligations, including the purpose of an AI system and the decisions it influences.
• Recognize practical governance, oversight, documentation, monitoring, and third-party risk considerations for AI use.
• Apply a practical set of questions to evaluate AI use cases within your organization.

Throughout the course, participants will examine practical concepts and industry-related scenarios illustrating how the EU AI Act applies to different AI systems and organizational roles. The course considers both regulatory requirements and the broader operational implications of AI adoption, helping participants connect risk classifications and compliance obligations with governance, oversight, and third-party risk management practices.

Upon successful completion, participants will receive a certificate of completion recognizing their foundational understanding of the EU AI Act, its risk-based framework, organizational obligations, and practical governance considerations for AI-enabled systems.

• Program Level: Foundational
• Program Field of Study: Data, Technology & Analytics
• Program Delivery Method: QAS Self Study
• CPE Credits: 3.0
• Advanced Preparation: No advanced preparation is required. A basic understanding of payments, merchant risk, or AI-enabled systems may be helpful but is not required.