Explain why rule-based compliance systems produce unsustainable false-positive rates. Design and configure AI-powered multi-agent investigation pipelines, and interpret their structured outputs. Apply hypothesis-driven and evidence-driven reasoning to evaluate compliance alerts objectively and avoid confirmation bias. Produce audit-ready compliance decisions and documentation that satisfy regulatory explainability requirements. Catalog major financial crime typologies and describe their statistical signatures. Build feature matrices and apply clustering/classification techniques to identify suspicious transaction patterns. Distinguish anomalous-but-legitimate behavior from genuinely suspicious activity using contextual and adversarial analysis. Compare digital asset regulatory frameworks, apply on-chain analytics, explain FATF Travel Rule challenges, and design blockchain compliance screening processes