Reduce alerts overload and drive clear, explainable decisions with Causal AI powered scenarios.
Gain in Operational Efficiency
Increase in Detection Precision
“Every alert becomes explainable, every decision justifiable”
Financial institutions process thousands of alerts with high false positives, limited prioritization, and weak explainability.
Rule-based detection systems struggle to generalize, and adapt poorly to new or sophisticated money laundering typologies.
Analysts spend hours on low-value reviews and struggle to justify decisions to regulators, leading to high operational costs and financial risk.
Detects and reveals real causes behind each alert — not just correlations.
Connects behaviors, transactions and weak signals into coherent narrative.
Ranks alerts by criticality and confidence so analysts focus on true risk.
Generates structured, regulator-ready analysis notes automatically.
Faster reviews, pre-drafted notes, less manual work.
Consistent, traceable, regulator-friendly decisions.
Easy integration on top of existing AML tools (API, cloud or on-prem).
