OVER THE PAST 10 YEARS, JS HAS DEVELOPED DEEP EXPERTISE IN THE AML DOMAIN, NOW INTEGRATING AI TECHNOLOGIES TO STRENGTHEN MONITORING, VERIFICATION AND INVESTIGATIVE PROCESSES.

We provide specialized capabilities to help clients improve control effectiveness, reduce operational workload, and accelerate high-impact activities.

We support Management in:

• Refining rule calibration through analytics, simulations and benchmarking to reduce noise while maintaining strong detection capabilities.
• Identifying emerging patterns and unmanaged risks using unsupervised models, clustering, anomaly detection and graph analytics to expand control coverage.
• Enabling a proactive approach through supervised and forecasting models to predict customer risk evolution and potential future exposures.
• Developing intelligent alert-management models to reduce false positives, duplicates and operational load on low-risk activities.
• Supporting investigative processes with generative models and RAG techniques to speed up information retrieval and automate parts of the documentation package.
• Optimizing features and datasets to increase model accuracy, stability and interpretability.
• Defining AI-driven KPIs and KRIs to enhance performance measurement and AML process monitoring.
• Ensuring compliance with ISO 42001 and the AI Act, both in the development of new models—guaranteeing explainability, risk control and lifecycle monitoring—and for the existing AI landscape, through As-Is assessments and dedicated pre-audit activities.
• Strengthening internal capabilities through tailored training programs and “train-the-trainer” approaches to enable full AI adoption.