Financial Crime Prevention

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AML Transaction Monitoring

AML Transaction Monitoring

Know the good.
Spot the bad.

Monitor all transactions and meet regulatory AML requirements while reducing false positives and operational costs. Use rules and AI models, with explainable AI on hand to support investigations
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AML Transaction Monitoring
Rules + machine learning · Batch & real-time
Live
Alert queue · risk-prioritized
91
Structuring pattern across accounts
Multiple sub-threshold deposits · linked counterparties
Investigate
78
Behaviour shift on dormant account
Sudden high-value activity after 14 months idle
Investigate
12
Recurring supplier payment
Consistent with customer profile history
Auto-cleared
Explainable AI
Score and contributing rules attached to the case file — the reasoning behind the alert, ready for the investigator to assess.
Investigators see risk, not noise
Open case

A growing burden

Money laundering evolves.
Static rules don't.

An estimated 2 to 5% of global GDP is laundered every year, and methods keep getting faster, more sophisticated and harder to detect. The FATF and the Basel Committee on Banking Supervision (BCBS) continue to raise the bar on AML controls, while regulators respond with stricter rules and heavier fines. In a world of instant payments and rising volumes, the detection problem only intensifies. Effective monitoring means detecting suspicious behavior and focusing on investigating these alerts to report suspicious activity across your entire customer base.

2–5%

Of global GDP is laundered every year, by current estimates

90%+

Of transaction-monitoring alerts turn out to be false positives at most banks

80–90%

Of alerts that do result in a SAR filing are not acted upon

Sources: UNODC estimate · McKinsey, as cited in Vyntra's white paper The Future of Transaction Monitoring for AML

Smarter risk detection

Spot potentially suspicious behavior more accurately through smart risk detection combining rules, profiles and machine learning models.

Models you can manage

Pre-built rules and models that are easy to understand, manage and extend, without dependency on development and data science teams.

Flexible integration

Deploy in cloud or on premise, in batch or real time, directly in your transaction flow, to suit your architecture.

Faster decisions

Improve decisions with end-to-end case management, automated workflows, and complete reporting.

Core capabilities

Accurate detection.
Operational efficiency.

Vyntra’s Transaction Monitoring solution integrates internal and external data sources and analyzes them through rules and machine learning models. It monitors large volumes in batch or real time, offering deeper insights, fewer false positives and increased operational efficiency.

Capability 01

Smart profiling

The solution incorporates pre-built rules, profiles and AI models. Each of these elements is managed in the Modelling Studio, a no-code/low-code tool for creating new detection scenarios and editing existing ones.

What you get

  • Pre-built rules, profiles and AI models from day one
  • No-code/low-code scenario editing in the Modeling Studio
  • Pre-packaged detection scenarios to help you get started

Capability 02

Configurable dashboards

Standardized, intuitive widget-based dashboards help you investigate alerts and visualize customer and transactional behavior, with explainable AI on hand throughout the investigation process.

What you get

  • Widget-based investigation dashboards, adjustable from a widget library
  • Customer and transaction behavior visualized for accurate decisions
  • Explainable AI supporting case investigations

Capability 03

End-to-end case manager

A comprehensive case manager consolidates all relevant data into one centralized platform, making it easy to share information, assign tasks and track investigations, with fully customizable workflows.

What you get

  • All relevant investigation data consolidated in one place
  • Task assignment, information sharing and progress tracking
  • Fully customizable workflows to match your operating model

Capability 04

Flexible deployment

Rapidly activate the solution and reach faster ROI.
Integrate it directly in your transaction flow, in cloud or on premises, monitoring in batch or real time.

What you get

  • Cloud or on-premise deployment to fit your architecture
  • Batch and real-time monitoring on the same solution
  • Rapid activation and faster time to value

One solution for all your AML needs.

Batch & real-time monitoring
Rules + machine learning
Explainable AI
No-code Modeling Studio
Cloud or on-premise
Internal & external data sources

Go deeper

Explore the resources
behind the solution.

Use Case

AML Alert Overload

Most AML alerts are noise. How risk-based scoring and explainable AI cut false positives without missing what matters, in the instant payments era.

Read the use case →

White paper

The Future of Transaction Monitoring for AML

Why rules-based AML detection is no longer sustainable, what holds banks back from machine learning, and how regulators’ positions are shifting.

Read the white paper →

BLOG

AML transaction monitoring solutions for banks: where to start

Most AML alerts are noise. How risk-based scoring and explainable AI cut false positives without missing what matters, in the instant payments era.

Read the article →

GET IN TOUCH

Meet your AML requirements.
Without drowning in costs.

See how Vyntra detects suspicious transactions accurately
while lowering alert volumes.

Book a demo
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