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The new TransWatch2.0 Transaction Monitoring system's enhanced features & efficiencies improves your transaction monitoring processes & regulatory requirements.

Dynamic Transaction Monitoring with machine learning

TW2.0 brings you Dynamic Transaction Monitoring - a sophisticated transaction monitoring capability enhanced with machine learning and advanced analytics to identify anomalies. Complement traditional rules-based reviews of customer activity with an independent machine learning driven review of your customer’s activities.

Create, update and test rules instantly with Sandbox

Say goodbye to complex rule coding, or waiting months just to modify or configure new rules and scenarios. TW2.0 has an innovative Sandbox which puts you in control. You can build your own rules from an easy-to-use rule palette, then test and deploy rapidly. The flexibility means you can continually improve your transaction monitoring processes to align with policy and reduce false positives.

Automatically review customer behaviour

A single transaction in isolation is often meaningless without the customer’s context. Customer behaviour, and how it compares to onboarding information, gives more insight into early signs of nefarious behaviour. The TW2.0 Client Activity Review monitors a customer’s behaviour and alerts you if this changes. This creates a profile so your team can efficiently measure risk and detect potentially suspiciousclient behaviour.

Know customer risk
in real-time

A risk-based approach requires a real-time picture of risk levels. In TW2.0, Risk-based Scorecards produce a risk score for each customer. When used with Dynamic Transaction Monitoring, the Risk-based Scorecard gives you an additional powerful barometer to measure customer risk.

Configure your dashboard
for efficiency

In TW2.0 monitor data that is only relevant to your workflow and tasks with the new highly configurable dashboard. With access to a palette of over 20 widgets, you control your view of the dashboard to see only the data that’s important to you.

TW2.0 gives you
more than transaction monitoring./


Advantage of a joint

Napier is partnered with Refinitiv to provide the latest technological advances such as Dynamic Transaction Monitoring. Napier brings years of technical expertise in predictive analytics, risk intelligence, machine learning and transparent AI.



Upgrading is easy and seamless with a bespoke plan defined by our experts. All of your existing rules will be carried over by our product upgrade team with training and full support provided.



TW2.0 provides an upgrade path to Dynamic Transaction Monitoring integrated with the innovative Client Activity Review and Risk-based Scorecard components - all of which give you a powerful toolset to monitor and assess suspicious transactions and behaviours.

See how our technology can help you

Platform architecture and services

The Fortytwo 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.

Transaction 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.


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

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.


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


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.