This record introduces the Insurability Bridge Layer (IBL), a classification layer that defines the structural conditions under which liability can be assessed, transferred, and defended in AI-mediated workflows. The IBL establishes that insurability is determined not by system performance, compliance posture, or governance structures alone, but by whether decision pathways remain reconstructable and interruptible under failure conditions. This work positions the IBL as a pre-actuarial classification layer operating upstream of underwriting and actuarial assessment. It provides a classification signal that determines whether liability transfer is viable in principle. The document is intentionally limited to classification-level disclosure. It does not include underlying methodologies, operational mechanisms, system architectures, or implementation processes. This record establishes a formal boundary condition for insurability in AI-mediated environments.
Victoria Gavaza (Fri,) studied this question.