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The aim is to define a new structural component in AI governance that manages authority and admissibility before actions are taken.

April 6, 2026Open Access

The Next Structural Problem in Agentic Systems

Key Points

The aim is to define a new structural component in AI governance that manages authority and admissibility before actions are taken.
Introduced the concept of the Execution Boundary in AI governance architectures.
Analyzed existing governance methods focused on policy, monitoring, and auditing.
Examined how system trajectories relate to admissible state transitions and real-world actions.
Identified the necessity of structural mechanisms to effectively govern agentic and autonomous systems.
Demonstrated the limitations of current governance approaches in accommodating real-time decisions.

Abstract

This paper introduces the concept of the Execution Boundary as a structural layer in AI governance architectures. While most governance approaches focus on policy, monitoring, or post-hoc auditing, this work examines the architectural point where system trajectories become admissible state transitions and real-world actions. The paper argues that governance in agentic and autonomous systems ultimately requires structural mechanisms that resolve authority and admissibility before execution occurs.

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Ricardo Rubio Albacete (Sun,) studied this question.

www.synapsesocial.com/papers/69d34eac9c07852e0af98552 — DOI: https://doi.org/10.5281/zenodo.18911575

The Next Structural Problem in Agentic Systems

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