Randomized trial demonstrates autonomous execution of financial transactions in multi-rail infrastructures, suggesting new frameworks for payment systems.
This paper extends the AI Payment Orchestration Framework introduced in Nandi (2026a) by proposing a conceptual framework for AI-native payment systems, in which financial transactions are autonomously executed by intelligent agents based on intent, policy, and real-time contextual signals. The framework introduces an Agentic Layer as a formal architectural component enabling continuous evaluation and independent execution of financial transactions without direct human intervention. The paper defines the architecture of an AI-native payment system, characterizes the goal-directed multi-agent model employed, and presents a detailed treasury scenario walkthrough demonstrating autonomous execution across SEPA Instant and stablecoin rails without human activation. Also available on SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6708820 Part 2 of a 3-paper series on the evolution of intelligent and autonomous payment systems.Part 1: https://doi.org/10.5281/zenodo.20261877
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Avik Nandi (2026) studied this question.
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