The Emergence of Intelligent Payment Systems: An AI-Driven Framework for Multi-Rail Payment Orchestration

The global payments ecosystem has evolved into a fragmented network of heterogeneous financial rails, including traditional banking systems, card networks, real-time payment infrastructures, and blockchain-based settlement layers. While these innovations have expanded capabilities, they have also introduced complexity, inefficiencies, and suboptimal routing decisions. This paper proposes a conceptual framework for artificial intelligence-driven payment orchestration, enabling dynamic routing of transactions across multiple payment rails based on contextual intent. The framework incorporates an intelligence layer that evaluates transaction attributes such as cost, speed, compliance, liquidity, and corridor-specific dynamics. By reframing payments as a decision-making system rather than a purely execution-driven process, this study contributes to the emerging discourse on intelligent financial infrastructure. The paper outlines the architectural components of such a system, discusses potential use cases, and highlights key limitations and areas for further research. Also available on SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6613638 Part 1 of a 3-paper series on the evolution of intelligent and autonomous payment systems.