- Solutions

Our solutions and software help our clients overcome common challenges adapting to AI and accelerate its implementation.

Bespoke Tooling for Google AML AI

Groundtruth's tooling includes the core capabilities required to implement, assess and productionise Google AML AI. With our tooling customers get AML AI working and performance results quickly so internal teams can focus on value add model development and work with a confident, clear path to production.
AML AI Pipelines. Production-ready software to run AML AI model pipelines end to end for rapid iteration with traceability and model artefacts governance saved automatically.
Success Metrics and Dashboard. Understand and backtest AML AI models against your risk requirements. Assess the impact of data and model changes.
Re-Alerting Framework. Customizable logic to ensure you don't work the same risk twice
Investigation Tooling. Transition to holistic investigations, work and manage cases with a purpose-built tool for AML AI alerts and avoid time consuming integration with existing case management systems in the pilot phase.

Testing financial crime systems is complex. This is a difficulty shared when testing rules based and AI systems accurately in AML. Historic data is often unreliable and incomplete and case outcomes aren't always accurate or sufficiently granular for testing requirements.
AML Benchmarking Dataset. At Groundtruth we have developed a synthetic dataset to help our clients understand the boundaries of what their system can detect, and what it might be missing. Our synthetic data is a generated source of customer, account, transaction and investigations data, consisting of honest customers and money launderers conducting a range of typologies.
Benchmark your existing systems. By measuring the detection of synthetic money launderers and honest customers, our clients can better understand their systems strengths and weaknesses, take comfort from an additional layer of testing, and focus development on the areas that need it.
Assess Risk Coverage. Drawing on experience from investigators, public sources and our own experience developing monitoring systems we generate a range of AML methodologies and red flags as it would appear in your data, including:
Money Mules
Rapid movement of funds
Smurfing
Structuring
High Risk Countries
Netting off
Change in Behaviors
Round tripping
Dormancy
Flexible pricing and deployment. We offer the AML benchmarking dataset with a range of pricing options to meet your needs.
Contact us for more information