
Carlo Bruno
VP Product at Adyen, leading AI-driven payment innovation
Amsterdam, Netherlands
Summary
Carlo Bruno is a product leader with deep expertise in machine learning and AI applications within the fintech sector, specifically payments. At Adyen, he has spearheaded the development of AI-powered solutions like 'Adyen Uplift' for payment optimization and 'Dynamic Identification' for building trust through behavioral signals. His work focuses on enhancing payment conversion, simplifying fraud management, and reducing processing costs for businesses. productschool+5
He demonstrates a strong background in risk and compliance product management within the payments industry. Prior to his current VP role, he held positions at Adyen focusing on payments acquiring, seller risk, AML & KYC compliance, and data platform products, underscoring his comprehensive understanding of payment ecosystem challenges and regulatory requirements. productschool+1
Carlo has an entrepreneurial background, having co-founded Careplanner, a platform for home care services. This experience highlights his initiative in developing solutions to connect people with essential services, showcasing a blend of business acumen and a focus on user needs. theorg
He possesses advisory experience in leveraging technology for social good, specifically blockchain for the agri-food sector, as a Member of the Advisory Board at Fairfood. This indicates a broader interest in technology's impact beyond financial services and a commitment to ethical and sustainable practices. productschool+1
Work
Education
Writing
Dynamic Identification: building the next layer of trust in global commerce
November 1, 2025Co-authored an article discussing how static identity is reaching its limits in online commerce and advocating for a future built on dynamic, behavior-based trust for secure payment processing.
The great payments paradox: Overcoming information asymmetry
March 1, 2025Co-authored an article explaining the challenge of information asymmetry in payment processing and the need for a systematic approach to combat fraud without hindering legitimate transactions, using an AI-first approach.