Paul Bryant • 9/13/2026

AI Decision Controls: From Learned Patterns to Authorized Actions

This article explores AI decision controls, focusing on the boundary between what a model recommends and what an application is authorized to execute. It outlines five key questions to separate: proposal validity, adequate reasoning, current authorization, operating limits, and outcome verification. Using a diagnostic assistant scenario, it argues that better model behavior doesn't remove the need for external enforcement of evidence, permissions, and resource bounds.

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#software architecture #llm #ai