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Description
Google Cloud's Anti Money Laundering AI (AML AI) offers a sophisticated solution aimed at improving the identification and prevention of money laundering within financial entities. By utilizing machine learning algorithms that are customized with an institution's specific data, AML AI can either replace or enhance conventional rules-based transaction monitoring systems, thereby delivering a more thorough and precise evaluation of potential threats. This innovative strategy has demonstrated an ability to uncover approximately 2 to 4 times the number of verified suspicious activities while decreasing false positives by over 60%, which enables compliance teams to concentrate on high-risk and actionable alerts. The platform generates explainable risk scores along with in-depth analyses of critical risk indicators, making interpretation simpler for analysts, risk managers, and auditors. Furthermore, AML AI is designed to align with model governance standards, ensuring stringent compliance, and it has been embraced as a transaction monitoring system of record in various jurisdictions, further solidifying its importance in the financial sector. As financial institutions increasingly prioritize effective compliance measures, AML AI stands out as a vital tool in their arsenal against money laundering.
Description
Tookitaki Anti-Money-Laundering Solutions: Adding power to your Compliance Lens Reduces false alarms by at least half for transaction monitoring programs. Reduces false alarms by at least 60% in screening programs. Reduces risk by increasing detection of true suspicious cases (SAR/STR), by 5%. Alerts are prioritized and handled more efficiently. Continuous automatic learning ensures high detection coverage in the face of growing data and changing regulations. Complex machine learning models and their outcomes are explained in an easy-to understand manner. Integration to existing and future up/downstream systems of the FI is easy with built-in connectors. Transaction Monitoring: We provide secondary scoring for the transaction monitoring process. Our semi-supervised approach is based on our proprietary semi-supervised method. It combines multi-dimensional unsupervised methods, network analysis, and supervised learning.
API Access
Has API
API Access
Has API
Integrations
Automation Anywhere
JSON
Pega CRM
Quantexa
WorkFusion
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/anti-money-laundering-ai
Vendor Details
Company Name
Tookitaki
Founded
2014
Country
Singapore
Website
www.tookitaki.com
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List