AI for AML: Practical deployments beyond pilots

Finextra, in association with NICE Actimize, will host a webinar where experts will examine how artificial intelligence is being applied across the anti-money laundering lifecycle, from customer onboarding and KYC to transaction monitoring and investigations, and how firms can scale pilot projects into operational deployments.

Financial institutions face pressure to identify AI applications that deliver measurable improvements in efficiency and effectiveness for AML programmes. Industry discussion has focused more on potential than proven outcomes, creating demand for clearer evidence of where machine learning, large language models and agentic AI are producing measurable results.

Speakers will outline practical use cases currently in use, including adverse media research, automated customer risk scoring, screening optimisation to reduce false positives, alert triage to prioritise investigations, automation of investigative tasks and support for suspicious activity report preparation.

Panelists will describe how AI can link risk signals held in different systems and teams so compliance staff can form a fuller view of customer risk and reach decisions more quickly. The conversation will cover integrating models into existing systems and workflows and connecting outputs across onboarding, monitoring and investigations teams.

The session will examine build, buy and hybrid approaches to AI. Panelists will explain how each option affects implementation speed, ongoing maintenance and operational oversight.

Regulatory and governance issues are on the agenda. The webinar will address requirements for documentation, explainability of automated decisions, risk-management frameworks and controls that support auditability and regulatory compliance.

The panel includes Nicola Eschenburg, EMEA AML Strategy Leader at NICE Actimize. Teresa Connors will serve as moderator.

The webinar will present operational examples and aim to answer questions about where AI is delivering measurable value today, the role agentic AI can have in compliance workflows, and how organisations can govern AI-driven AML processes while meeting regulatory expectations.