Where AI delivers measurable value in AML

A webinar held in association with NICE Actimize will examine where artificial intelligence is producing measurable results across the anti-money laundering lifecycle. Nicola Eschenburg, EMEA AML Strategy Leader at NICE Actimize, is on the panel and Teresa Connors will moderate.

The session will focus on practical applications across customer onboarding, know-your-customer checks, transaction monitoring, investigations, case management and regulatory reporting. Speakers will outline how machine learning models, large language models and emerging agentic AI tools are being applied to adverse media research, customer risk scoring, screening optimisation, alert triage, investigation automation and preparation of suspicious activity reports.

Panelists will discuss steps institutions are taking to move beyond pilots to operational deployment. Topics include linking risk signals held in different teams and systems, and integrating workflows so that alerts, screening results and customer records combine to give a fuller view of customer risk.

The webinar will address governance and regulatory expectations for AI use in financial crime compliance. Presentations will cover requirements for transparency, explainability and risk controls when models affect decisions about customers or filings, and how oversight, documentation and testing can be added to development and production cycles to meet supervisory requirements.

Speakers will examine whether firms should build AI capabilities in-house, buy vendor solutions or adopt a hybrid approach. Discussion will cover trade-offs such as the level of control and customization with internal development, the speed and packaged functionality of vendor platforms, and the operational challenges of integrating in-house components with third-party systems.

The practical role of agentic AI in compliance workflows will be considered. Examples include automated triage of alerts, drafting investigation notes and SAR narratives, and guided workflows that keep human reviewers in the loop. The panel will highlight the need for guardrails, ongoing monitoring and human oversight where automated agents touch sensitive decisions.

The session will present concrete use cases and measurable outcomes. It will provide examples of where organisations report efficiency gains or detection changes and describe the governance and integration work required to move projects into production.