Tookitaki’s Anti-Money Laundering Suite is an AI-powered compliance platform that helps financial institutions detect and prevent financial crime. It integrates transaction monitoring, risk scoring, smart screening, and case management to reduce false positives, improve alert quality, and ensure regulatory compliance.
Vendor
Tookitaki
Company Website
Anti-Money Laundering Suite (AMLS)
Tookitaki’s Anti-Money Laundering Suite (AMLS) is an AI-powered compliance platform designed to help financial institutions detect, prevent, and manage financial crime. Built on a modular architecture, AMLS integrates transaction monitoring, customer risk scoring, smart screening, and case management into a unified system. It leverages machine learning and typology-based approaches to reduce false positives, improve alert quality, and ensure regulatory compliance across jurisdictions.
Features
- Transaction monitoring with typology-based detection
- Dynamic customer risk scoring based on behavioral changes
- Smart screening for customers and payments using AI
- Real-time sanctions and adverse media screening
- Unified case management and alert resolution workflows
- Scenario simulation and onboarding tools
- Explainable AI (XAI) for regulatory transparency
- Integration with existing core banking systems
- Continuous model improvement via self-learning algorithms
- Real-time processing and alert prioritization
Capabilities
- Monitors over 3 billion transactions and 15 million accounts annually
- Detects suspicious activity using advanced pattern recognition
- Adapts to evolving financial crime tactics with dynamic modeling
- Supports real-time decision-making and compliance reporting
- Enables rapid deployment and onboarding of new AML scenarios
- Provides 360-degree customer risk profiles
- Reduces investigation time and improves operational efficiency
- Ensures global regulatory compliance with FATF and other standards
- Scales across financial institutions of varying sizes and geographies
Benefits
- Up to 50% reduction in onboarding time for new scenarios
- 45% improvement in alert quality and yield
- 90% reduction in false positives
- 100% risk coverage across AML workflows
- Enhanced audit readiness and regulatory transparency
- Lower compliance costs and faster deployment
- Improved fraud detection and customer onboarding accuracy
- Centralized control over AML and fraud case management