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1
1
Malaysia
1 year of experience
Computer Science student at UCSI University, passionate about AI, cloud computing, computer architecture, and software development. Experienced in hackathons, leadership, and AWS cloud projects. Always eager to learn and apply new technologies, and continuously improving my skills through real-world experience

I use 3 layer hybrid architecture to handle both structured and unstructured data: Layer 1: Data Acquisition (Custom Skills): We built OpenAPI integrations to simulate accessing Internal Ledger (ERP), Open Banking APIs, and Government Compliance (SSM/LHDN sim). Layer 2: Orchestration (Skill Flows): This layer utilizes an Agentic Workflow to automatically fetch, sequence, and map data from all three isolated sources, guaranteeing stability and efficiency. Layer 3: Intelligence: The AI Agent receives the unified data packet and uses foundation models to perform forensic logic reasoning Business Value: The solution provides immediate ROI by: Preventing Fines: Ensures 100% compliance with statutory contribution rates (KWSP/LHDN). Eliminating Fraud: Stops payments to shell companies instantly. Increasing Efficiency: Reduces manual audit time from days to seconds by using automation. I use a scenario that involves a high-value payment for services: Amount: RM 250,000 Stated Purpose: Consultancy Fees Claimed Vendor (ERP): GHOST TECH SDN BHD AI successfully detects three major red flags by cross-referencing the three microservices: Red Flag 1: Shell Company Risk (SSM Check) Finding: The vendor, GHOST TECH SDN BHD, is listed with an SSM Status of "DORMANT (No Activity)". A company with no activity cannot legitimately provide RM 250,000 worth of consulting services. This indicates a high probability of a Shell Company being used to generate a fake expense. Red Flag 2: Identity Mismatch (Bank Trace) Finding: Although the ERP ledger claims the money went to the company, the actual beneficiary of the RM 250,000 transfer was "TAN AH KOW ". Red Flag 3: Tax Non-Compliance (LHDN Check) Finding: The vendor's LHDN compliance status is False. This confirms a high risk of Tax Evasion, as the counterparty is likely hiding the income, exposing the purchasing company to LHDN scrutiny. issue a CRITICAL FREEZE based on this overwhelming evidence.
23 Nov 2025