This article introduces a novel architecture that combines federated edge AI, differential privacy, and adaptive prompt optimization to produce verifiable compliance evidence in real time. It details the technical stack, workflow, security guarantees, and practical deployment tips for enterprises seeking scalable, privacy‑preserving compliance automation.