Abstract

This paper develops a predictive architecture for Structural Intelligence (SI), extending the framework from diagnostic assessment toward time-bound breach-hazard estimation. SI already distinguishes coherence from contact, performance from answerability, and symbolic repair from real revision under pressure. The present paper asks a further question: when a structure appears to hold, how long can it continue holding under its current load path before contradiction returns in a harder form? Rather than claiming deterministic collapse prediction, the paper proposes breach hazard as a disciplined way to estimate the rising likelihood that a person, institution, AI workflow, relationship, policy, or infrastructure system will cross from managed strain into forced contact within a declared time horizon. It translates SI concepts into rate-sensitive variables such as drift velocity, contact half-life, contradiction recovery lag, repair velocity, maintenance inflation, burden export velocity, hidden-holder depletion, hysteresis penalty, synthetic trace discount, and binding strength. The paper also connects SI to resilience engineering, graceful extensibility, early-warning signals for critical transitions, and system safety. Its central constraint is methodological: no predictive claim can be marked Verified when apparent repair depends mainly on hidden-holder labor, manual rescue, unverified AI trace, or synthetic documentation. The result is not a completed empirical science, but a predictive layer in formation: a framework for estimating structural exhaustion while remaining answerable to evidence, falsification, downgrade rules, and time.