Course : AI Applied to Banking Compliance: Optimizing KYC and AML/CFT Controls

Practical course - 2d - 14h00 - Ref. ILB
Price : 2020 CHF E.T.

AI Applied to Banking Compliance: Optimizing KYC and AML/CFT Controls



New course

This training course enables banking compliance professionals to strengthen their KYC and AML/CFT systems through the use of artificial intelligence. Participants will learn how to automate certain controls, improve the detection of atypical behavior, reduce false positives, and ensure the secure use of AI technologies within a controlled regulatory framework.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. ILB
  2d - 14h00
2020 CHF E.T.




This training course enables banking compliance professionals to strengthen their KYC and AML/CFT systems through the use of artificial intelligence. Participants will learn how to automate certain controls, improve the detection of atypical behavior, reduce false positives, and ensure the secure use of AI technologies within a controlled regulatory framework.


Teaching objectives
At the end of the training, the participant will be able to:
Identify the regulatory and organizational challenges of banking and financial compliance
Implement KYC and AML/CFT controls based on a risk-based approach
Leveraging artificial intelligence technologies to automate and strengthen compliance controls
Ensuring the safe use of AI by incorporating regulatory, ethical, and data protection requirements

Intended audience
Compliance officers, RCCI, RCSI, KYC analysts, internal auditors, risk management departments, ongoing monitoring managers, and professionals involved in banking and financial compliance programs.

Prerequisites
None.

Practical details
Teaching methods
The instructor assesses the participant's learning progress throughout the training course using multiple-choice questions, role-playing exercises, hands-on activities, and so on.

Course schedule

1
Understanding Current Banking Compliance Issues

  • Identify the key regulatory requirements related to banking and financial compliance.
  • Understand the responsibilities of the compliance, audit, and risk management functions.
  • Analyze the impact of regulatory changes on control mechanisms.
  • Establish a compliance governance framework tailored to the requirements of regulatory authorities.
  • Identify the interactions between compliance, internal audit, and ongoing monitoring.
Hands-on work
Analysis of an existing compliance framework and identification of areas for improvement.

2
Structure and strengthen KYC and AML/CFT systems

  • Understand the principles of KYC and the fight against money laundering and terrorist financing.
  • Implement a risk-based approach tailored to customer profiles and operations.
  • Verify beneficial owners and ensure the security of customer onboarding processes.
  • Identify weak signals and atypical behaviors related to sensitive operations.
  • Strengthen procedures for monitoring and escalating compliance alerts.
Case study
Case Study on Risk Classification and the Handling of KYC/AML-CFT Alerts.

3
Leveraging Artificial Intelligence in Compliance Processes

  • Understand the main applications of AI in banking compliance.
  • Automate document processing and data consistency checks.
  • Leveraging behavioral analysis to improve anomaly detection.
  • Optimize transaction monitoring and reduce false positives.
  • Identify the operational limitations and reliability conditions of AI models.
Hands-on work
Designing an AI use case to automate a compliance check.

4
Regulating and Ensuring the Safe Use of AI in a Regulated Environment

  • Understanding the Regulatory Impacts of the AI Act on Compliance Activities.
  • Identify the risks associated with algorithmic bias and automated decisions.
  • Ensure the explainability and traceability of the models used in audits.
  • Secure sensitive data and strengthen governance of AI processing.
  • Define best practices for overseeing and monitoring artificial intelligence tools.
Hands-on work
Development of a risk and compliance assessment framework for an AI tool.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations

Dernières places
Date garantie en présentiel ou à distance
Session garantie
From 7 to 8 December 2026
FR
Remote class
Registration
From 18 to 19 February 2027
FR
Remote class
Registration
From 26 to 27 April 2027
FR
Remote class
Registration
From 8 to 9 July 2027
FR
Remote class
Registration
From 21 to 22 October 2027
FR
Remote class
Registration

REMOTE CLASS
2026 : 7 Dec.

2027 : 18 Feb., 26 Apr., 8 July, 21 Oct.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.