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AML Transaction MonitoringFeedzai

Feedzai's AML Transaction Monitoring solution uses AI to enhance accuracy and efficiency in detecting suspicious activities. It integrates customizable workflows and machine learning analytics to prioritize alerts, reducing false positives and compliance costs.

Vendor

Vendor

Feedzai

Product details

Improve AML Efficiency with AI-powered Transaction Monitoring

Reduce compliance costs with advanced automation. Improve accuracy and accelerate decisioning.

AI-powered, but User-driven

Rules-based, AI-powered

Adjust AML scenarios and thresholds to align with risk tolerances. Leverage Feedzai’s industry-leading AI and proven predictive models to solve long standing inefficiencies, not patch over them.

A Complete Customer View

No more moving between systems for the information you need. Customize workflows, investigate and manage cases, and report suspicious activity all on one platform.

Easier Configuration

Built-in workflows to streamline repetitive tasks such as quickly pivoting from alert view to SAR filing. Machine Learning analytics prioritizes alerts while optimizing model performance.

48% Lower TCO

Reduce Ownership Costs Minimize TCO compared to other leading solutions. Established policy-driven rules and workflows are overlaid with Intelligent AML technology that facilitates effective and adaptive processes throughout the AML journey.

33% Reduction in False Alerts

Fewer False Positives Assessments consider a wider set of inputs for alerts that align with both known and emerging business risk typologies.

5 Clicks from alert view to SAR filing

Improved User Experience Use intuitive visual link analysis to Identify risky relationships, detect layering, and uncover connections between entities, accounts, and companies that would have otherwise gone unnoticed.

3x Faster time-to-market

Faster Time-to-Market Cloud-based, agile data-science environment and flexible APIs enable faster responses to emerging risks, ongoing innovation, and orchestration of disparate systems.

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