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AML Transaction
Monitoring./

Our Transaction Monitoring system is designed to be used by non-technical business users and enables you to rapidly test & build your processes.

Define and build rules

Build and define rules easily using our flexible graphical user interface. No need to write code.

Simulate, test and deploy

Rapidly test scenarios and assess the impact of new rules and regulations in the platform's ‘sandbox’ simulator before going live.

Enhance your analysis

Run transaction monitoring together with machine learning. Our system produces two scores: one from rule-based scenarios; and the other from advanced machine learning algorithms. You can then compare these scores to understand and prioritise your teams daily workload.

Manage cases and workflow

Enable your teams to co-manage cases through a single, self-auditing platform that defines and unifies every step of an investigation.

See how our technology can help you

Platform architecture and services

The Napier Ecosystem comprises of two components:
  1. Application layer built upon micro-services
  2. Napier Business Applications, fully customisable for specific business needs
Data integration:
  • Fast integration through micro-services leveraging fault tolerant, self-healing architectures
  • RESTful APIs as standard for data integration and interactions with platform applications
  • Standard interfaces for common data ingestion (e.g. Flat-file, CSV integration, etc.)
  • Rapid interface development based on proprietary development framework

Our Solutions

Transaction
Monitoring

Dramatically reduce false positives, while still detecting truly suspicious activity, with our machine learning-enabled transaction monitoring system designed to be used by non-technical business users in organisations of all sizes.

Payment
Screening

Run real-time searches on payment or transactional data against multiple watch and sanctions lists to make rapid decisions about the level of risk associated with payments beneficiaries and originators.

Client
Screening

Screen clients or entities against designated sanction lists while leveraging a machine-learning programme and advanced fuzzy matching algorithms to reduce false positives.

Client Activity
Review

Gain additional deeper insights about your customer’s activity with an automated ongoing review of all customer data - including transactions, payments and screening results - against their expected behaviour.

Risk-Based Scorecard Review

Perform enhanced risk assessments to generate a risk level for each client. Use these levels as part of a risk-based assessment to optimise your screening and monitoring processes.

Entity
Screening

Screen entities against designated sanctions and watch lists using advanced fuzzy matching algorithms to reduce false positives.

BIG DATA PLATFORM

Ingest, enrich and analyse unprecedented quantities of data from multiple sources in real-time at a fraction of the cost (and in a fraction of the time) of legacy systems. Adding insight, whatever the sector.

LEARN MORE