AI-Driven AML & CFT – Enhancing Detection & Compliance
In person10 SIDC CPE points*
Your training day
Tuesday, 26 January 2027
PLVA-0003-R004
9:00 am – 5:30 pm
7 training hours, excluding breaks
8:30 am – 9:00 am
Mr. Primus Lim
Emspaced @ KL Sentral, Menara Allianz Sentral, Level 23A, Menara Allianz Sentral, 203, Jalan Tun Sambanthan, Brickfields, 50470 Kuala Lumpur.
Subject to change. PLV will confirm the final arrangements.
About this programme
AI and machine learning for AML/CFT detection, regulatory compliance and practical implementation.
This program is designed to address the critical gap between traditional AML/CFT practices and the rapid advancements in AI and machine learning, which are reshaping how financial crimes are detected and prevented. With money launderers continually evolving their methods in the digital age, financial institutions must adopt innovative, technology-driven solutions to enhance risk detection, reduce false positives, and streamline compliance processes. Moreover, this training is aligned with both domestic regulatory requirements (SC and BNM) and international standards, ensuring that compliance professionals are equipped to meet increasingly stringent expectations. By bridging theoretical knowledge with practical, hands-on applications, the program empowers participants to modernize their AML/CFT frameworks and secure the integrity of financial systems.
Learning objectives
Upon completion of this course, participants will be able to:
Explain key SC, BNM, and international AML/CFT regulations.
Identify core AI and machine learning techniques for AML/CFT detection.
Describe a prototype AI-driven AML compliance model that integrates regulatory checkpoints.
Present a strategic roadmap for AI integration in AML/CFT processes.
Course outline
9:00 – 10:30 - 1 hour 30 minutes
1. Foundations of AI & Machine Learning for AML/CFT
Learning Objectives:
Explains: Core concepts of AI, machine learning, and big data analytics, including the differences between rule-based systems and AI-driven approaches.
Identifies: Key AI techniques (supervised, unsupervised, natural language processing) relevant to detecting suspicious activity
Practical Activities:
Instructor-led demonstrations illustrating examples of AI models and real-world applications.
Interactive discussions to clarify key concepts.
Speaker: MR. PRIMUS LIM
10:45 – 12:00 – 1 hours 15 minutes
2. Regulatory Frameworks – SC, BNM, & International AML/CFT Requirements
Learning Objectives:
Explains: The specific AML/CFT guidelines and best practices mandated by the SC and BNM, alongside international standards.
Identifies: Critical compliance checkpoints and reporting requirements within these frameworks.
Develops: A preliminary compliance checklist that integrates domestic (SC/BNM) and international requirements.
Practical Activities:
Group discussions and exercises focused on drafting compliance checklists based on regulatory case studies.
Speaker: MR. PRIMUS LIM
12:00 – 13:00 – 1 hours 00 minutes
3. Case Studies & Best Practices in AI-Driven AML/CFT
Description:
Explains: Real-world applications of AI in AML/CFT (e.g., enhancements in transaction monitoring, digital identity verification, risk-based customer due diligence).
Identifies: Success factors and challenges from case studies (such as those from leading regional financial institutions).
Develops: Strategies for adapting these best practices to their own compliance programs.
Practical Activities:
Analysis of case studies followed by group discussions to extract lessons and practical insights.
Speaker: MR. PRIMUS LIM
14:00 – 15:30 – 1 hour 30 minutes
4. Interactive Workshop – Describing an AI-Driven AML/CFT System
Description:
Explains: The steps involved in integrating AI solutions within an existing AML framework.
Identifies: Potential data quality, privacy, and interoperability issues in line with regulatory requirements.
Develops: A prototype model or process flow for an AI-driven AML system that complies with SC, BNM, and international standards.
Practical Activities:
Hands-on group workshop where participants collaboratively design and outline a prototype AI-driven AML system.
Real-time problem solving and brainstorming sessions on how to overcome data and regulatory challenges.
Speaker: MR. PRIMUS LIM
15:45 – 17:30 – 1 hour 45 minutes
5. Presenting a Strategic Roadmap for AI Integration in AML/CFT
Description:
Explains: The organizational, technological, and regulatory prerequisites for scaling AI-driven AML solutions.
Identifies: Key stakeholders, vendor criteria, and risk management strategies to ensure regulatory compliance.
Develops: An actionable roadmap for AI integration that aligns with SC, BNM, and global standards
Practical Activities:
Group exercise to create and present a strategic roadmap, including stakeholder analysis and an implementation timeline.
Peer review and feedback sessions to refine the proposed roadmap.
All cancellation or rescheduling requests must be made in writing. Cancellation more than 14 working days prior to the training date will incur no charge; cancellations between 7 to 14 working days will incur a 30% fee; cancellations between 3 to 7 working days will incur a 50% fee; and cancellations less than 3 working days prior to the training date or non-attendance will incur 100% of the training fee. One (1) rescheduling is allowed with at least 7 working days’ notice, subject to availability, and any subsequent rescheduling may incur an administrative fee. Participant substitution is allowed at no additional cost. For HRD Corp claimable training, the employer/participant is responsible for any impact on grant approval or claims arising from cancellation or changes.
Payment and Registration Terms and Conditions
Registration will only be confirmed upon receipt of full payment or an official letter of undertaking. PLV Advance Business Consulting Sdn Bhd reserves the right to deny or cancel participation if payment or confirmation is not received prior to the training date. Payment made after the training date may be subject to an administrative charge of up to 10% of the total fee. Participants will be admitted on a first-come, first-served basis and subject to availability. For HRD Corp-funded registrations, the employer is responsible for obtaining HRD Corp’s training grant approval at least fourteen (14) days before this public programme begins. Payment through HRD Corp is subject to the approved grant amount and fulfilment of HRD Corp’s attendance, documentation and claim requirements.
SIDC CPE-Approved Training Programme Attendance Requirements
Participants must comply with the requirements of the Securities Industry Development Corporation (SIDC) to qualify for CPE points. A minimum attendance of 80% of the total training duration is required, supported by official sign-in and sign-out records. Participants who do not meet this requirement (including late arrival or early departure) will not be eligible for SIDC CPE points.
DISCLAIMER
PLV Advance Business Consulting Sdn Bhd reserves the right to make changes to the training venue, date, trainer, delivery mode, or fees, including postponement or cancellation of the programme due to circumstances beyond its control. Participants and employers will be notified accordingly, and any unused payments will be carried forward or managed in accordance with applicable arrangements.
PLV will confirm availability, payment or grant arrangements and joining details. Registration is subject to the conditions in the form.
SIDC CPE: Subject to SIDC CPE requirements. Suitable for CMSRL and ERP holders fulfilling their applicable CPE requirements.
FIMM CPD: FIMM CPD points are not currently confirmed for this programme. Applications are subject to early application and FIMM approval.
HRD Corp: For HRD Corp-funded registrations, the employer is responsible for obtaining training grant approval at least fourteen (14) days before this public programme begins. Payment is subject to the approved grant amount and fulfilment of attendance, documentation and claim requirements.
Trainer profile
Mr. Primus Lim
Mr. Primus Lim has more than 20 years of experience in foreign exchange, financial markets, retail banking, corporate banking, treasury, and training. He previously served as a Senior Broker at Affin Moneybrokers Sdn Bhd, where he specialized in the money market, bonds, derivatives, FX swaps, options, and foreign exchange. Additionally, he worked in the treasury department of MUFG Bank (Malaysia) Berhad, previously known as Bank of Tokyo Mitsubishi-UFJ (M) Berhad, handling FX, interest rate swaps, derivatives, money market, structured products, and options.
Primus holds a Bachelor of Accounting from Universiti Kebangsaan Malaysia and is a Chartered Accountant under the Malaysian Institute of Accountants. He is a member of the Financial Markets Association of Malaysia (Persatuan Pasaran Kewangan Malaysia, PPKM) and the Asian Institute of Chartered Bankers (AICB). He is also a certified trainer under the ‘Train The Trainer’ certification program by HRD Corp (Human Resource Development Corporation), an agency under the Ministry of Human Resources Malaysia, and is an accredited trainer by HRD Corp as well.
Currently, Primus is the Managing Director and Principal Trainer of PLV Advance Business Consulting Sdn Bhd, where he focuses on training and business consultancy.
