AI in Compliance — Promise, Peril, and Practical Use for Banking & Financial Crime

Описание: This webinar takes a clear-eyed look at how AI is being deployed across AML, fraud, sanctions screening, and conducting surveillance programs. We’ll explore where AI genuinely moves the needle, where it introduces new vulnerabilities, and how compliance teams can balance innovation with accountability.

Key themes include:

How AI is transforming AML and fraud detection through pattern recognition, anomaly detection, and behavioural analytics
Practical use cases in transaction monitoring, KYC/CDD, sanctions screening, and suspicious activity reporting
Emerging risks: model bias, explainability challenges, data quality issues, and regulatory expectations
Governance frameworks and controls needed to deploy AI responsibly in high-risk compliance environments
What regulators are signalling about AI adoption — and how banks can prepare


By the end of this webinar, participants will be able to:

Explain how AI is currently being used across AML, fraud, sanctions, and conduct surveillance functions.
Distinguish between AI capabilities that deliver measurable value and those that remain experimental or high risk.
Identify the ethical, regulatory, and operational risks associated with AI enabled compliance tools.
Evaluate practical AI use cases in transaction monitoring, KYC/CDD, sanctions screening, and SAR processes.
Assess the strengths and limitations of AI driven models, including issues related to bias, explainability, and data quality.
Develop strategies for aligning AI initiatives with supervisory expectations, internal risk appetite, and operational realities.
This webinar is designed for professionals involved in financial crime risk management, including:

Compliance leaders and heads of financial crime
AML/CTF and fraud operations teams
Sanctions screening and KYC/CDD specialists
Risk managers and model risk governance teams
Data, analytics, and AI transformation leads working with compliance functions
Internal audit and assurance professionals reviewing AI enabled controls
Regulatory affairs and policy teams monitoring supervisory expectations

It is suitable for participants with foundational knowledge of AML/fraud processes, as well as senior practitioners seeking a strategic, real world perspective on AI adoption in banking.