GenAI / Agentic AI for Enterprise Risk Management (ERM): Strategic Resilience & Autonomous Oversight

Program Description

This two-day intensive program is designed for non-technical executives and risk leaders to transition from manual, reactive oversight to AI-augmented proactive defense and autonomous resilience. In the 2026 Malaysian corporate landscape, navigating the AI Governance Bill, Bursa Malaysia Sustainability Reporting, and BNM’s Technology Risk Management Framework (TRMF) requires more than just a "thinking partner" - it requires Agentic AI capable of independent monitoring and real-time mitigation.
This workshop merges the efficiency of Generative AI for document synthesis with the power of Agentic AI for autonomous risk workflows. Participants will transition from "prompting" a chatbot to "deploying" risk agents that protect data sovereignty while ensuring 100% oversight of both structured and unstructured data.

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 Agentic Risk Frameworks: Move beyond basic prompting to building "Agents" that autonomously monitor supply chains, news cycles, and internal telemetry for risk signals.
Automate Local Regulatory Compliance: Prototype workflows for real-time gap analysis against the 2026 AI Governance Bill, PDPA 2.0, and BNM TRMF standards.
Detect Hyper-Sophisticated Fraud: Use GenAI and Agentic AI to identify AI-generated "Deepfake" fraud, social engineering intent, and collusion patterns.

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 leap from Generative AI (cognitive partner) to Agentic AI (autonomous actor).
Scenario (Banking/FinTech): A Compliance Head uses GenAI to synthesize 200+ pages of the 2026 Malaysian AI Governance Bill, identifying five specific operational impacts.
Hands-on: Practice “Structured Prompting” – turning raw regulatory updates into multi-layered internal “Action Memos”.
Expected Impact: Immediate reduction in time-to-insight for new regulations.

Module 2: No-Code Audit Synthesis & Gap Analysis

Bridging the “Policy-to-Evidence” Gap: Using GenAI to generate audit checklists and identify inconsistencies in documentation.
Demo (Manufacturing): Using AI to compare factory safety logs against ISO standards and Bursa Malaysia ESG requirements.
Hands-on: The “Policy-to-Practice” Challenge – using AI to analyze anonymized internal communications to identify cultural drift.
Expected Impact: 70% reduction in manual document review time.

Module 3: Advanced Vendor & Third-Party Due Diligence

Leveraging Agentic Scans: Using AI to autonomously scan news, social sentiment, and Malaysian flood maps for supply chain “red flags”.
Scenario (Retail/E-commerce): Analyzing an international vendor by having AI scan news archives for past labor law violations in their local language.
Hands-on: Build a “Due Diligence Bot” prompt to generate a 1-page “Risk Profile” based on public data.
Expected Impact: Proactive protection against third-party reputational and environmental damage.

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

Strategic Narratives: Using GenAI to structure persuasive risk appetite statements and translate compliance metrics for the Board.
Scenario: Turning a raw “SAR” (Suspicious Activity Report) log into a 5-slide executive narrative highlighting systemic vulnerabilities.
Hands-on: Create a “Board-Ready” slide outline for a mock compliance budget, including “Cost of Non-Compliance” scenarios.
Expected Impact: Faster approval cycles for risk-related investments.

Day 2: Fraud Detection, Incident Response & Governance

Module 5: Detecting Fraud in the "Unstructured"

Analyzing Intent: Using GenAI to analyze “tone” in expense descriptions and emails to detect collusion or AI-generated “Deepfake” phishing.
Demo (General Corporate): Analyzing “Ghost Vendor” invoices where AI flags repetitive phrasing that escaped traditional ERP systems.
Hands-on: The “Anomaly Hunt” – input raw anonymized logs to generate a “Probability of Fraud” report.
Expected Impact: Reduced internal leakages and detection of fraudulent intent before finalization.

Module 6: Rapid Incident Response & Crisis Playbooks

Autonomous Response: Utilizing Agentic AI to simulate “What-If” scenarios and generate 24-hour Legal & PR recovery plans.
Scenario (Logistics/FMCG): Simulating an environmental violation allegation and having the AI generate a tiered communication plan.
Hands-on: The “Crisis Simulation” – input a breach scenario and have an AI Agent generate responses for regulators and the media.
Expected Impact: Proactive crisis management and high-quality legal responses under pressure.

Module 7: Responsible AI, PDPA 2.0 & The AIGE Framework

Ethical Boundaries: Defining legal boundaries under the National AI Governance & Ethics (AIGE) guidelines.
Data Sovereignty: Avoiding PII leaks (like NRIC data) to public LLMs and auditing AI for “hallucinations”.
Hands-on: Co-create a “Departmental Risk-AI Playbook” outlining data anonymization steps and “Human-in-the-loop” protocols.
Expected Impact: 100% compliance with PDPA 2.0 and structural protection of corporate reputation.

Module 8: The 90-Day Risk & Compliance Roadmap

Practical Rollout: Prioritizing Risk-AI initiatives based on Feasibility vs. Criticality (Regulatory exposure).
Hands-on: Develop a “Risk Augmentation Backlog” – identifying 3 high-impact tasks to be augmented with Agentic AI.
Expected Impact: A clear, actionable path from training to execution with measurable KPIs.

List of Deliverables

Prerequisites

Technical Knowledge: No prior coding, SQL, or technical AI experience is required.
Professional Profile: This is a non-technical program for business and risk leaders.
Essential Equipment: Participants must bring a laptop with access to web-based AI tools (ChatGPT, Claude, etc.).
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 & Agent Engineering: Interactive sessions focusing on forensic analysis and autonomous narrative verification.
Strategic Co-Design: Group sessions to build the corporate AI Playbook and a phased 3-6 month adoption roadmap.

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 training costs against their levy.

Certification of Completion

Participants who successfully complete the program will be awarded a “Professional Certificate in GenAI & Agentic AI for Enterprise Risk Management.“

Post-Workshop Consulting (Optional)

Optional, paid consulting services are available to bridge the gap between training and execution. These engagements provide technical support for pilot development or full-scale Agentic AI operational integration.