This paper introduces a logic programming-based framework for autonomous agents to reason about potential penalties for non-compliance with policies. It enables agents to achieve high-stakes goals by identifying optimal non-compliant plans that minimize repercussions, and also assists policymakers by simulating human decision-making under policy constraints.