AI for Banking & Financial Services Teams 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.

Yes. We tailor content to cover both conventional and Islamic finance contexts. For Islamic banking teams, we include examples around Shariah-compliant product design, Islamic finance regulatory requirements, and AI applications specific to takaful and sukuk processes. Our facilitators have experience with both conventional and Islamic financial institutions across Malaysia, Indonesia, and the broader ASEAN region.

All hands-on exercises use synthetic, anonymised data sets that mirror real financial services data patterns without exposing any actual customer information. We can also work within your secure environment if needed. For organisations with strict data governance, we offer an on-premise delivery option where all tools and data remain within your network.

We cover the AI and technology risk guidelines from MAS (Singapore), OJK (Indonesia), BNM (Malaysia), BSP (Philippines), BOT (Thailand), SFC and HKMA (Hong Kong), and SBV (Vietnam). Content is localised to the regulatory environment most relevant to your institution. We also cover cross-border considerations for regional financial groups.

Absolutely. Module 1 (Foundations) is designed for all participants, but modules 2-5 can be attended selectively. For example, your risk team might focus on Credit Risk and Fraud Detection modules, while compliance teams attend the Regulatory Compliance module, and customer-facing teams attend the CX module. Module 6 (Roadmap) brings everyone together. We'll help you design the right attendance plan during the customisation phase.

For maximum hands-on learning, we recommend 12-25 participants per cohort. For larger teams, we run multiple cohorts. The programme works best when participants come from different departments (risk, compliance, operations, customer-facing) so cross-functional conversations happen naturally.