Governing Autonomous Decision Authority: A Handoff-Threshold Framework for Agentic AI in Payment Infrastructure

Authors

  • Gokulakrishnan Seshiah

Keywords:

agentic AI; payment infrastructure; autonomous CI/CD; real-time fraud decisioning; human-AI collaboration; AI governance; handoff threshold; NIST AI Risk Management Framework; bounded autonomy; escalation design; financial technology; responsible AI deployment

Abstract

Agentic AI systems now operate autonomously inside production payment infrastructure resolving CI/CD dependency conflicts, scoring transactions for fraud in real time, and managing the cadence of model deployment yet existing AI governance frameworks stop short of specifying a concrete, auditable mechanism for dividing decision authority between agent and human. This article addresses that gap directly. Drawing on practitioner experience operating agentic systems at global payment scale, we present a taxonomy of agentic deployment patterns in payment infrastructure, an architecture description of a layered real-time fraud-inference system, and a four-tier handoff-threshold governance framework full-autonomy, advisory-autonomy, confirm-before-act, and human-only mapped explicitly onto the NIST AI Risk Management Framework's Govern function and the human-oversight provisions of Article 14 of the EU AI Act. The framework turns what is otherwise an implicit, emergent boundary on agent authority into a documented control that risk and compliance functions can inspect and challenge.

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Published

31.08.2026

How to Cite

Gokulakrishnan Seshiah. (2026). Governing Autonomous Decision Authority: A Handoff-Threshold Framework for Agentic AI in Payment Infrastructure. International Journal of Intelligent Systems and Applications in Engineering, 14(1s), 2417 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/8550

Issue

Vol. 14 No. 1s (2026)

Section

Research Article

License

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