This article introduces a novel architecture that combines self‑supervised multi‑modal learning and graph neural networks to fuse textual, visual, and structured compliance evidence in real time. The approach delivers instant decision support while preserving privacy through federated learning and zero‑knowledge proof validation, positioning it as a next‑generation engine for regulated industries.