AI Investigator in Action

Inside an AI-Generated Due Diligence Investigation: Jin Bei Group Co.

Real-time due diligence. Real-world risk. Real results.

This investigative case study offers a guided walkthrough of an AI-generated due diligence investigation produced by Themis’ AI Investigator, using Jin Bei Group Co. as a real-world example.

Jin Bei Group presents itself as a leisure and entertainment business operating hotels and casinos across Southeast Asia. However, reporting has linked individuals and entities associated with the group to wider cryptocurrency scam networks in the region, raising serious financial crime, sanctions and human rights concerns.

Built by compliance professionals and financial crime researchers, the AI Investigator uses AI trained on proprietary intelligence to aggregate and analyse multiple data sources, identify patterns and anomalies, and generate a structured investigative output in minutes—dramatically reducing the time and effort required for enhanced due diligence.

Why This Matters

Hidden financial crime risk rarely appears as a single red flag. It emerges across interconnected risk areas, including:

• Corporate structures and control
• Beneficial ownership and network connections
• Sanctions and watchlist exposure
• Adverse media and litigation risk
• High-risk geographies and operating footprints

In this case study, the investigation highlights allegations and enforcement activity linked to individuals associated with Jin Bei Group, including sanctions designations and allegations that casinos connected to the broader network hosted scam compounds involving fraud, extortion and forced labour.