This article introduces a groundbreaking AI‑driven counterfactual compliance engine that generates real‑time “what‑if” regulatory scenarios, combines causal graphs with LLMs, and empowers product teams to make proactive, risk‑aware decisions.

This article introduces a novel causal AI decision support engine that ingests streaming regulatory events, builds dynamic causal graphs, runs counterfactual simulations and surfaces actionable remediation steps. It explains the architecture, key algorithms, integration patterns and real‑world use cases for compliance teams seeking proactive, data‑driven guidance.