This article introduces a novel AI architecture that combines causal graph neural networks, generative AI, and real‑time regulatory streams to forecast compliance impact on product roadmaps. It explains the data pipeline, model design, integration patterns, and practical benefits for product managers, compliance officers, and engineering teams, while providing actionable implementation guidance and a Mermaid visualization of the end‑to‑end system.

This article introduces a novel AI‑driven framework that combines causal graph neural networks, real‑time data streams, and counterfactual simulation to forecast the business impact of regulatory changes. Readers will discover the architecture, key algorithms, implementation steps, and practical use‑cases that empower compliance teams to act before risks materialize.