AI Compliance & RegTech for Financial Services in Malaysia

Yes. This programme is structured to qualify for HRD Corp's SBL-Khas scheme, which covers training costs up to RM1,000 per participant with direct provider payment — no upfront cost to your organisation. Employers with 10 or more Malaysian employees who are registered with HRD Corp are eligible. Applications must be submitted and approved before training begins (allow 5-10 working days for processing).

We integrate PDPA compliance into every module. The 2024 amendments — including mandatory DPO appointments, 72-hour breach notification, expanded sensitive data definitions covering biometrics, and data portability rights — are addressed as practical requirements, not abstract legal concepts. Participants learn to build AI workflows that embed these obligations from the design stage.

Training is delivered in English as the primary working language, which is standard for professional AI training in Malaysia. Materials and exercises can incorporate Bahasa Malaysia terminology where relevant, and our facilitators are comfortable with the code-switching between languages that is common in Malaysian business settings. For government or GLC engagements requiring Bahasa Malaysia delivery, we can accommodate this with advance notice.

Yes. We specifically address how AI deployments must comply with BNM's RMiT policy requirements for cybersecurity, cloud risk management, and technology governance. For fintech firms, we also cover the Financial Technology Regulatory Sandbox Framework and its 'Green Lane' accelerated track for lower-risk innovations.

Based on the AWS study showing that 65% of Malaysian businesses adopting AI report average revenue increases of 19% and 72% report significant productivity improvements, most participants see measurable returns within 60-90 days of completing the programme. The specific timeline depends on your organisation's AI readiness and implementation speed, but our structured 30-day post-training implementation plan is designed to accelerate time-to-value.

All case studies, exercises, and examples are contextualised for Malaysian industries, regulations, and business practices. We reference PDPA requirements (not GDPR), HRD Corp processes (not generic HR frameworks), and ASEAN market dynamics (not Western assumptions). Our facilitators have direct experience delivering AI programmes to Malaysian organisations across sectors.

It depends on your jurisdiction and use case. MAS encourages AI in RegTech but expects institutions to have robust governance. OJK requires notification for material AI deployments. BNM expects AI systems to align with RMiT principles. We'll help you navigate regulatory engagement strategies during the training programme.

No. AI automates routine tasks (document verification, sanctions screening, data processing) but human judgment remains critical for complex risk assessments, regulatory interpretation, and customer relationship decisions. The training focuses on augmenting compliance teams, not replacing them.

We teach explainability frameworks including decision audit trails, model documentation, feature importance analysis, and human oversight controls. You'll learn to build regulatory submission materials demonstrating that AI systems are transparent, auditable, and aligned with supervisory expectations.

The programme is designed for compliance professionals, not data scientists. We focus on using AI tools, interpreting outputs, validating decisions, and managing vendors — not building models from scratch. Technical depth is adjusted to match your team's background.

Yes. We cover MAS FEAT principles, OJK POJK AI governance requirements, BNM RMiT, and BSP consumer protection guidelines. You'll learn to build AI validation frameworks, audit documentation, and governance controls that demonstrate regulatory alignment.