GenAI for Risk, Compliance, and Fraud: Strategic Control and Intelligent Oversight

Program Description

This two-day program intensive is designed for non-technical executives and risk leaders to transition from manual, reactive oversight to AI-augmented proactive defense.
In the Malaysian corporate landscape, navigating the complexities of the PDPA, National AI Governance (AIGE), and evolving AML/CFT standards requires a "thinking partner" capable of scanning vast amounts of unstructured data.
This workshop focuses on the "Thinking Partner" model - using Generative AI to bridge the gap between regulatory jargon and executive execution.
Participants will build proprietary, no-code workflows for audit synthesis, fraud signal detection, and compliance reporting while ensuring structural integrity and data sovereignty.

While this outline serves as a foundational framework with use cases from multiple industries and functions, the final program is fully customized to your industry and internal workflows. Participants work on real-world problems, not generic examples.

We engage in a pre-workshop alignment to inject your specific organizational datasets, pain points, and proprietary use cases directly into the curriculum.

Learning Objectives

Master Professional Risk Prompting: Use structured frameworks (Role, Task, Context, Constraints) to generate high-fidelity audit summaries, risk registers, and incident response plans.
Accelerate Compliance Lifecycles: Prototype workflows for automated regulatory gap analysis, KYC/Vendor due diligence summaries, and policy-to-practice mapping.
Detect Unstructured Fraud Signals: Learn to use GenAI to identify anomalies in communication patterns, expense logs, and vendor contracts that traditional rule-based systems miss.

Program Details

Content

Day 1: AI-Augmented Compliance & Regulatory Intelligence

Module 1: The AI-Ready Risk Leader

Shifting from “Box-Ticking” to “Intelligent Oversight.” Understanding the LLM architecture as a cognitive partner for complex regulatory interpretation.
Scenario (Banking/FinTech): A Compliance Head uses GenAI to synthesize a new 200-page Bank Negara Malaysia (BNM) policy document, identifying five specific operational impacts for their branch network.
Hands-on: Practice “Structured Prompting” – turning a raw regulatory update into a multi-layered internal “Action Memo” for department heads.
Expected Impact: Immediate reduction in time-to-insight for new regulations; foundation for safe AI usage in sensitive legal contexts.

Module 2: No-Code Audit Synthesis & Gap Analysis

Using GenAI to bridge the gap between “Policy” and “Evidence.” Learning to generate audit checklists and identify inconsistencies in internal documentation.
Demo (Manufacturing): Using AI to compare factory safety logs against ISO standards, highlighting missing documentation or “lazy” reporting patterns.
Hands-on: The “Policy-to-Practice” Challenge – participants use AI to compare a mock corporate code of conduct against recent internal email samples (anonymized) to identify cultural drift.
Expected Impact: 70% reduction in manual document review time; higher accuracy in identifying non-compliance “blind spots.”

Module 3: Advanced Vendor & Third-Party Due Diligence

Leveraging AI to scan news, social sentiment, and annual reports for “red flags” in the supply chain or partner network.
Scenario (Retail/E-commerce): Analyzing a potential new international vendor by having the AI scan news archives for past labor law violations or financial instability in their local language.
Hands-on: Build a “Due Diligence Bot” prompt – create a customized assistant that can take a company name and generate a 1-page “Risk Profile” based on available public data.
Expected Impact: Enhanced “Know Your Vendor” (KYV) protocols; proactive protection against third-party reputational damage.

Module 4: AI for Executive Risk Reporting & Buy-in

Using GenAI to structure persuasive risk appetite statements and translate “Compliance Metrics” into board-ready strategic narratives.
Scenario: Turning a raw “SAR” (Suspicious Activity Report) log into a 5-slide executive narrative that highlights systemic vulnerabilities and the ROI of a proposed tech upgrade.
Hands-on: Create a “Board-Ready” slide outline for a mock compliance budget, including objectives, “Cost of Non-Compliance” scenarios, and risk mitigation.
Expected Impact: Faster approval cycles for risk-related investments; more polished and data-driven executive communication.

Day 2: Fraud Detection, Incident Response & Governance

Module 5: Detecting Fraud in the "Unstructured"

Moving beyond numbers. Using GenAI to analyze the “tone” and “intent” in expense descriptions, emails, and procurement bids to detect collusion or social engineering.
Demo (General Corporate): Analyzing a set of “Ghost Vendor” invoices where the AI flags repetitive phrasing and suspicious address similarities that escaped the ERP system.
Hands-on: The “Anomaly Hunt” – input raw (anonymized) expense logs and have the AI generate a “Probability of Fraud” report based on suspicious justification patterns.
Expected Impact: Ability to identify “fraudulent intent” before the transaction is finalized; reduced internal leakages.

Module 6: Rapid Incident Response & Crisis Playbooks

Utilizing GenAI to simulate “What-If” scenarios, focusing on unstructured risks like data breaches, regulatory raids, or public whistleblower allegations.
Scenario (Logistics/FMCG): Simulating the impact of a sudden environmental violation allegation at a port and having the AI generate a 24-hour “Legal & PR Recovery” plan.
Hands-on: The “Crisis Simulation” – input a hypothetical breach scenario and have the AI generate a tiered communication plan for the Board, Regulators, and the Media.
Expected Impact: Proactive crisis management; ability to generate high-quality legal responses under high-pressure timelines.

Module 7: Responsible AI, PDPA & The AIGE Framework

Defining the legal and ethical boundaries of AI in Risk. Focus on “Sovereign Data,” avoiding PII leaks to public LLMs, and the National AI Governance & Ethics (AIGE) guidelines.
Scenario (HR/Legal): Auditing an AI-generated disciplinary report for potential “hallucinations” and ensuring no sensitive NRIC or medical data was used in the prompt.
Hands-on: Co-create a “Departmental Risk-AI Playbook” – outlining do’s/don’ts, data anonymization steps, and “Human-in-the-loop” verification protocols for the team.
Expected Impact: Structural protection of corporate reputation; 100% compliance with PDPA 2.0 and national AIGE standards.

Module 8: The 90-Day Risk & Compliance Roadmap

Consolidating Day 1 & 2 into a practical rollout plan for the participant’s specific functional area.
The Framework: Prioritizing Risk-AI initiatives based on Feasibility (Ease of adoption) vs. Criticality (Regulatory exposure/Impact).
Hands-on: Develop a “Risk Augmentation Backlog” – identifying 3 high-impact tasks (e.g., weekly KYC summaries) to be augmented with GenAI.
Expected Impact: A clear, actionable path from training to execution; measurable KPIs for AI-driven risk management.

List of Deliverables

Upon completion of the program, participants will have produced a tangible “AI Portfolio” including:

Executive Risk Presentation Toolkit: Ready-to-use slide outlines and executive summaries for HQ and Board submissions.
Corporate Risk-AI Playbook: A co-created framework for safe, ethical, and PDPA-compliant AI deployment.
LinkedIn & GitHub Showcase: All mini-projects generated (Audit reports, Crisis plans) are "portfolio-ready" for professional platforms.

Prerequisites

Technical Knowledge: No prior coding, SQL, or technical AI experience is required. This is a non-technical program for business leaders.
Essential Equipment: Participants must bring a laptop with access to web-based tools (ChatGPT, Claude, etc.) and a sample (non-sensitive) policy or audit report.
Mindset: A willingness to challenge traditional "sample-based" auditing and embrace "100% Data Oversight."

Who Should Attend

Chief Risk Officers (CRO) & Compliance Directors
Internal Auditors & Company Secretaries
Fraud Investigation & Forensic Accounting Teams
Legal Counsel & Regulatory Affairs Managers
Heads of Finance & Operations overseeing internal controls

Training Methodology

Risk Ecosystem Lab: Hands-on application using actual industry regulatory briefs and anonymized audit datasets.
Applied Prompt Engineering: Interactive sessions focusing on logical reasoning, forensic analysis, and narrative verification.
Strategic Co-Design: Group sessions to build the corporate AI Playbook and phased 3-6 month adoption roadmap.

100% HRDC-Claimable

This program is fully registered and compliant with HRDC (Human Resource Development Corporation) requirements under the SBL-Khas scheme, allowing Malaysian employers to offset the training costs against their levy.

Certification of Completion

Participants who successfully complete the program will be awarded a “Professional Certificate in GenAI for Risk, Compliance, and Fraud.”

Post-Workshop Consulting (Optional)

For organizations looking to bridge the gap between training and execution, we offer optional, paid consulting services. These engagements provide expertise and technical support for specific pilot development or full-scale operational integration of the data- and AI-driven use cases established during the program.