This work proposes a certifiable architecture for AI-assisted aircraft control that avoids placing a large generative model directly in the flight control loop. The architecture combines: a deterministic flight core for authority-bearing control, a containerized semantic audit host for anomaly interpretation, a phase-governed arbitration layer, a dissimilar "Iron Buckler" backup system, and a Remote Command Intelligence Node (RCIN) for bounded escalation. The design is intended as a "sane middle doctrine" between conventional rigid avionics and future unrestricted autonomous AI systems. Key contributions include: explicit phase-governed authority contracts, provenance-aware maintenance and anomaly correlation, heartbeat-mirrored dissimilar redundancy, hardware-trustable AI isolation, emergency bounded authority inheritance, and survivability-oriented degradation logic. The architecture emphasizes explainability, certifiability, fault tolerance, and graceful degradation rather than unrestricted autonomy. This submission includes: Main certification and doctrine canvas Hardware, redundancy, isolation, and survivability appendix
Kuoch et al. (Sun,) studied this question.