AI in AML: Practical uses and operational rollout

NICE Actimize is hosting a webinar that will bring together industry experts to examine where artificial intelligence delivers measurable value across the anti-money laundering lifecycle and how firms move projects from pilots into routine use. Nicola Eschenburg, EMEA AML Strategy Leader at NICE Actimize, will participate and Teresa Connors will moderate the session.

Speakers will address specific applications across customer onboarding, know-your-customer checks, transaction monitoring, investigations, case management and regulatory reporting. The agenda includes examples of machine learning, large language models and agentic AI applied to tasks such as adverse media screening, customer risk scoring, optimisation of screening lists, alert triage, automation of investigation steps and preparation of suspicious activity reports.

The webinar will cover how institutions are connecting signals that sit in separate systems so that alerts and insights follow the customer record. Presenters plan to explain technical and operational steps for integrating outputs from different AI tools into case management workflows and routing alerts to appropriate teams to speed resolution.

Speakers will outline governance and regulatory considerations, including expectations for transparency and model explainability, documenting model behaviour, maintaining audit trails and establishing controls for AI-driven decision-making. The discussion will address how automated processes can align with compliance policies and reporting obligations while preserving oversight.

The role of agentic AI will be examined with examples of where multi-step autonomous systems can assist investigators, for instance by assembling evidence or drafting investigative narratives, and where human review must remain in place. Panelists will also discuss options for building in-house capabilities, buying vendor solutions or using a combination of both to meet operational needs.

Attendees will hear about measurable outcomes used to evaluate deployments, such as reductions in false positives, shorter case-resolution times and improvements in the quality of suspicious activity reports. The session aims to provide concrete examples and practical steps for scaling AI across AML programmes.