AI-Augmented Impact Frames: A Closed-Loop Architecture for Purpose-Aligned Decisions

How to scale decision-making with AI without losing control of meaning. AI can accelerate decisions—but also obscure why they are made. This paper introduces a closed-loop architecture that preserves human interpretive control while enabling AI-supported analysis. By constraining how meaning is translated into decisions, it prevents drift from becoming invisible inside automated systems. The goal is not just faster decisions—but traceable ones. About the Coherence ProgrammeThe Coherence Programme studies why institutions drift despite appearing aligned. It shows that decisions are made not on intent itself, but on how intent is translated into criteria, metrics, and allocation rules. Using the Operating Spine,…