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Average Ratings 0 Ratings
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
Yes
API Access
Has API
Yes
Integrations
Automation Anywhere
Yes
JSON
Yes
Pega CRM
Yes
Quantexa
Yes
WorkFusion
Yes
Integrations
Automation Anywhere
No
JSON
No
Pega CRM
No
Quantexa
No
WorkFusion
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Case Management
No
Compliance Reporting
No
Identity Verification
No
Investigation Management
No
PEP Screening
No
Risk Assessment
No
SARs
No
Transaction Monitoring
No
Watch List
No
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No