Trade-Based Money Laundering Detection with AI — TBML Typologies and Red Flags

Why TBML Is the Hardest Financial Crime to Detect

Trade-Based Money Laundering (TBML) is the process of laundering funds through manipulation of international trade transactions. It is consistently identified by FinCEN, FATF, and the Egmont Group as one of the three primary methods used by criminal organizations to launder money — alongside cash-intensive businesses and bank transfers. Yet it is systematically under-detected and under-reported, for a structural reason: the institutions that process trade finance (banks, freight forwarders, customs brokers) rarely have visibility into the full transaction chain that would make the manipulation detectable.

A bank processes a letter of credit. The customs authority processes an import declaration. The freight forwarder handles the shipping documents. The tax authority sees the invoices. None of them individually sees the whole picture — the comparison between the invoice price and the world market price, the mismatch between declared goods and actual goods, or the circular flow of funds across multiple transactions. TBML exploits this fragmentation. AI-assisted analysis, which can ingest and cross-reference multiple data sources, changes the detection calculus.

Core TBML Typologies

Over- and Under-Invoicing

The most prevalent TBML technique. In over-invoicing, an exporter charges more than the market value for goods, and the importer pays the inflated price. The difference between the market price and the invoice price represents a transfer of value — effectively moving money from the importer's country to the exporter's country without a currency transfer. Under-invoicing works in reverse: goods are exported at below-market prices, and the difference is transferred separately in cash or through a separate payment channel.

• "Analyze this trade transaction for over-invoicing indicators. Transaction: Import of 500 units of 'industrial pumps' from a company in [Country A] to a buyer in [Country B]. Invoice price: $18,500 per unit, total value $9.25M. Shipment weight: 2,100 kg total. Comparable market data: similar industrial pumps (centrifugal, 50hp, stainless steel) trade at $4,200–$6,800 per unit based on recent HS code 8413.70 trade statistics. Flags to analyze: (1) price deviation from market benchmark — calculate the implied excess payment, (2) weight-to-value ratio anomaly, (3) country risk (does either country appear on FinCEN geographic targeting orders or FATF grey/black list?), (4) counterparty risk (is this a related-party transaction?). Produce a TBML risk assessment."
• "I have two transactions between the same counterparties in the same HS code category over 3 months. Transaction 1: 1,000 units exported at $12/unit = $12,000. Transaction 2: 1,000 units exported at $78/unit = $78,000. The goods description is 'electronic components' (HS 8542.31). Market range for this HS code: $8–$95/unit depending on specification. Analyze: is the price variance between transactions unusual? What additional information would I need to determine if this is TBML over-invoicing vs. legitimate specification differences? Draft the transaction due diligence questions."

Multiple Invoicing

The same shipment is invoiced multiple times to multiple banks or financing entities, generating multiple payments for a single delivery of goods. This technique exploits the fragmentation between trade finance banks who each see only their own letter of credit without knowing whether other banks are financing the same shipment.

• "We have received a documentary letter of credit for a shipment of copper cathodes from Chile (HS 7403.11). The buyer has presented documents at our bank. Our trade finance system shows a separate LC for what appears to be the same bill of lading number at another bank in our network. How should I investigate this potential double-financing fraud? What documents should I request? What are the regulatory reporting obligations if double financing is confirmed?"

Falsely Described Goods

Goods are described differently in shipping documents than what is actually shipped, either to misrepresent value or to circumvent export controls on dual-use or sanctioned goods. This can involve describing controlled electronics as non-controlled components, misdeclaring precious metals, or hiding narcotics or counterfeit goods within legitimate shipments.

• "A client is importing '300 units of thermal imaging devices for industrial inspection' (HS 9025.19). The supplier is based in China. Our export control screening flags thermal imaging devices as potentially dual-use under EAR99 / ECCN 6A003. The end-use certificate states 'pipeline corrosion inspection for oil & gas sector.' Red flags to evaluate: (1) Is thermal imaging for pipeline inspection a plausible commercial use? (2) Should the HS code be 9025.19 or would ECCN-controlled equipment be differently classified? (3) Does the volume (300 units) match the stated industrial use? (4) Is a Chinese supplier of this product type a heightened risk? Produce an export control / TBML screening analysis."
• "Draft a dual-use goods checklist for our trade finance team to use when reviewing letters of credit. The checklist should cover: (1) HS code screening against dual-use control lists (CCL, EU Dual-Use Regulation), (2) end-user certificate requirements (when required, what it must contain, red flags), (3) red-flag country list (OFAC sanctioned countries, FATF grey list, BIS Entity List), (4) red-flag goods descriptions (vague descriptions, descriptions that don't match the HS code), (5) financial red flags (unusually high/low prices, unusual payment terms, third-country routing). Format as a structured review checklist with Yes/No/Note fields."

FinCEN and FATF Guidance Application

FinCEN's 2010 Advisory on TBML (FIN-2010-A007) and FATF's Best Practices Paper on Trade-Based Money Laundering identify specific red flags for financial institutions. Claude can help compliance teams apply this guidance systematically to their transaction review process.

• "Apply FinCEN's TBML red flags (FIN-2010-A007) to the following transaction: Export of electronics components from a US company to a buyer in Malaysia, paid via a third party in the UAE. Invoice amount: $340,000. The US exporter is a one-year-old company with no prior export history. The Malaysian buyer has no verifiable business history online. The payment is routed through a UAE trading company that is listed as an intermediary. Check this transaction against FinCEN's red flag categories: (1) customer red flags, (2) financial instrument red flags, (3) geographic red flags, (4) trade document red flags, (5) commodity red flags. Produce a risk assessment and SAR recommendation."

Price Verification and Market Benchmarking

The analytical foundation of TBML detection is price benchmarking: comparing the stated invoice price against published world market prices for the same commodity. Several databases exist for this purpose — UN Comtrade, ITC Trade Map, USITC, World Bank Commodity Markets. Claude can help analysts structure the comparison and interpret the results.

• "I need to benchmark the price of 'Used clothing' (HS 6309.00) imported from Canada at a declared value of $0.45/kg, total shipment 22,000 kg, total value $9,900. UN Comtrade data shows recent average import prices for used clothing from developed countries in the $0.30–$1.20/kg range. Is $0.45/kg within the normal range? What is the TBML risk if this is under-invoiced? Conversely, if a similar shipment came in at $4.50/kg, what would that imply? Produce a price analysis and risk narrative."
• "Help me build a commodity price monitoring tool using publicly available data. For our trade finance portfolio, I need to monitor 12 key commodity HS codes where we see the most volume. For each code, I want to track: (1) UN Comtrade average import/export price by major trading pair, (2) World Bank commodity price index (for commodities they track), (3) our own portfolio's average invoice price for that HS code. Describe the data sources, update frequency, and the alert logic I should use to flag transactions more than 25% outside the current benchmark range."

Where to Start

For trade finance compliance teams, the highest-value immediate application is building a structured TBML screening checklist that operationalizes the FinCEN and FATF red flags for your specific product mix. Use the prompt templates above to build and refine that checklist, then apply it systematically to your LC and documentary collection pipeline. Price benchmarking against UN Comtrade data for your top 20 commodity codes by volume is the next step — it converts qualitative red flags into a quantifiable deviation metric. The AML & Financial Crime guide covers the SAR filing workflow once a TBML case reaches the reporting threshold.