Improved Money Laundering Detection with Predictive Analytics
C3 AI Anti-Money Laundering
C3 AI Anti-Money Laundering uses comprehensive machine learning techniques to increase the accurate detection of suspicious activity while significantly reducing false positive alerts. The application improves AML investigator productivity with intelligent case recommendations, flexible analysis tools, automated model evidence packages and advanced visualizations of key contextual case data, including alert insights, network link analysis, transaction patterns, and KYC profile information.
Demonstrated Benefits
85%
Reduction in false-positive AML alerts requiring investigator review
200%
Increase in AI-detected money laundering activity
7x
Increase in analytical signals used to detect suspicious activity
Transforming AML with Machine Learning
Existing systems create an excessive number of false positive alerts
AI-based early warning signals reduce false-positive alerts by up to 85%
Existing systems miss certain suspicious activity and emerging risks
AI-based AML risk detection improves accuracy of suspicious activity identification by up to 200%
Siloed data leads to highly manual and inefficient investigations
360-degree customer view unifies all client activity data, including transactions, balances, credit history, news, relationships and more, in a single user interface
Evidence package creation is time-consuming and investigation evidence is inconsistently captured
AI recommendations and interpretability allow intelligent investigations with easy-to-interpret risk drivers and seamless evidence package creation
Difficult to measure operational performance and improve investigation outcomes
Flexible and configurable dashboards enable optimized investigation throughput and accuracy
Processes and systems are not flexible enough to accommodate changing regulatory requirements
End-to-end AI lifecycle management and full data lineage ensure sustained model performance and full model auditability
Successful Deployments
Improving AML Investigation Efficiency
C3 AI-based approach yields high-precision identification of suspicious activity
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Eliminate unnecessary alerts, detect risky behavior and investigate intelligently
Key Capabilities
AI-based early warning
AI-based early warning
- Prioritize AML alerts using a machine learning-driven risk score that predicts the likelihood of suspicious activity for each client
- Observe automatic updates in risk and changes in behavioral patterns as new data arrive
- Provide closed-loop feedback to enable the model to improve over time and identify new risk patterns
AI-based AML risk detection
AI-based AML risk detection
- Improve the detection of risk with machine learning models that leverage all available internal and external data
- Detect new, emerging risk typologies with unsupervised learning models
- Configure machine learning models for adverse media name-screening and the detection of anomalous networks
360-degree customer view
360-degree customer view
- Unify data from disparate internal and external source systems into a single view of the client
- Visualize thousands of time-based analytics that model client behavior and expose suspicious activity patterns
AI recommendations and interpretability
AI recommendations and interpretability
- Seamlessly collate information into investigation evidence packages in minutes using interpretable model risk drivers
- Analyze AI-recommended similar cases to review behavior and risk patterns and improve investigation accuracy and rigor
- Configure intelligent workflows to manage interactions and gather all relevant inputs from other investigators
Flexible and configurable dashboards
Flexible and configurable dashboards
- Analyze team performance down to the individual investigator level to identify training opportunities and implement operational improvements
- Guide AML teams to important and emerging risk factors to improve investigation outcomes
- Configure operational performance metrics and visualizations
End to end AI lifecycle management
End to end AI lifecycle management
- Replay history to analyze client behavior, AI insights and risk drivers from past investigations for faster internal audit and regulatory reviews
- Leverage easy-to-interpret AI insights to approve model configurations and updates
Scope
C3 AI Anti-Money Laundering benefits AML programs across a broad range of financial institutions, business units, and stakeholders.
Banking
Corporate Banking
SMB Banking
Correspondent Banking
Retail Banking
Investments
Private Wealth Management
Private Banking
Portfolio Management
Institutional Advisory
Capital Markets
Broker-Dealer Services
Investment Banking
Sales & Trading
Government
Regulators
Investigative Bodies
Law Enforcement Agencies
Benefits for C3 AI Anti-Money Laundering Users
AML Investigator
Prioritize activities and conduct more intelligent investigations in a single interface using AI insights and a 360-degree view of the client.
AML Team Lead
Manage team performance, track operational metrics, intelligently assign cases and improve throughput and accuracy of investigations.
Compliance Officer
Manage risk exposure across the entire AML program and respond to regulatory requirements in a timely manner using interpretable AI.
Data and Architecture
