Last year, banks filed 43 million suspicious activity reports. Of those, exactly 0.01% led to criminal convictions.

This statistic, revealed by our CEO Nigel Hook at a recent industry panel, exposes a brutal truth about trade finance compliance: the system everyone relies on to catch criminals simply isn’t working.

“Only having 0.1% lead to a conviction, I think all the hard work we’re doing with technology and the process is not being effectively used,” Nigel told an audience of banking executives and compliance professionals. His words landed like a punch to the gut in a room full of people who spend their careers fighting financial crime.

When compliance becomes theatre

The numbers paint a picture of spectacular systemic failure. Nigel, drawing from his experience as director of the FBI’s Citizens Academy, explained that of those 43 million reports filed with FinCEN—the Financial Crimes Enforcement Network—only 4% received any attention from federal law enforcement. A mere 0.3% led to arrests.

For context, that means banks could fire every compliance analyst, shut down every monitoring system, and randomly flag transactions with a dart board—and probably achieve similar conviction rates.

“I’d love to see if any of the banks have actually got response on these SARs that have been filed,” Nigel challenged the panel audience, offering branded hats to anyone with positive feedback stories. The nervous laughter that followed told its own story.

But this isn’t merely about wasted resources or bureaucratic inefficiency. Nigel’s background in combating human trafficking through San Diego’s Bilateral Safety Corridor Coalition—which unites 80 agencies to fight cross-border crime—gives him a different perspective on what’s at stake.

“When you see the impact of human trafficking, that’s what’s driving the red flags,” he said. San Diego processes over 40 million border crossings annually, making it the world’s largest crossing point. “If you can stop the flow of goods, the flow of money, essentially it’s a shot through the heart to these organized crimes.”

The speed trap

Part of the problem lies in a fundamental mismatch of pace. Criminal organisations adapt quickly. Banks don’t.

When asked whether financial institutions are embracing new technologies fast enough to combat evolving threats, Nigel’s answer was blunt: “No.”

He explained the constraints banks face: “They are under a lot of regulatory surveillance to make sure things are done right… they are encumbered by having to do a lot more research and be a lot more comfortable, especially with new generative AI.”

Meanwhile, their opponents face no such restrictions. “The organized crime folks don’t have those restrictions and they probably have bigger budgets frankly,” he observed.

This creates a perverse dynamic where legitimate institutions spend months evaluating AI tools through committee processes while criminals deploy the same technology immediately for document forgery and transaction obfuscation.

The open account problem

The challenge grows more complex when you consider how trade finance itself has evolved. Industry research shows open account transactions now represent 80% of the market, compared to just 20% for traditional letters of credit.

This shift matters because documentary credits funnel all transaction data through controlled banking channels. Open account transactions scatter information across multiple parties and systems—precisely the environment where traditional compliance systems struggle most.

“The bills of ladings and the packing lists are all out there just from different sources,” Nigel explained. “If you can have access to that and visibility then you can kind of close the gap.”

This fragmentation creates blind spots that sophisticated money launderers exploit. They understand that banks excel at monitoring controlled environments but struggle with the messy, multi-party reality of modern supply chains.

Beyond artificial intelligence hype

While much industry discussion centres on artificial intelligence as a panacea, Nigel offered a more nuanced view. He sees particular promise in AI’s ability to detect increasingly sophisticated fake documents: “There’s a premise that maybe AI can detect them better than a human if AI has created them.”

But he pushed for more fundamental changes in approach. Rather than simply automating existing document-centric processes, Nigel advocated for signal-based verification: “When you look at the ability to use signals from IoT to determine if goods have landed or containers been opened… there’s more authenticity than relying on documents that have been signed and possibly been forged.”

This represents a philosophical shift from asking “do these papers look right?” to “did these events actually happen?”

Networks matter more than transactions

The panel discussion revealed another critical flaw in current approaches: they focus too narrowly on individual transactions rather than relationship networks. As fellow panelist Maria George from Clearey Technologies noted, effective detection requires “knowing your customer’s customer” and conducting network analysis to identify potential collusion.

Traditional compliance systems examine transactions in isolation, missing the patterns that emerge when criminal networks attempt to disguise illicit activities across multiple seemingly legitimate trades.

This network-centric thinking aligns with TradeSun’s methodology, which maps relationships and traces flow patterns rather than simply reviewing individual documents.

The regulatory black hole

Perhaps most damning was the panel’s discussion of what happens after banks file suspicious activity reports. The answer, it seems, is largely nothing.

Mansour Dvarian from Lloyds Banking Group confirmed that banks must make their own decisions about continuing client relationships regardless of whether they receive any feedback on filed reports. “It is our responsibility and even once we raise the SAR it’s our decision as to what we do with that client and that transaction,” he said.

This creates a bizarre situation where banks file millions of reports into what amounts to a regulatory black hole, then must make risk decisions based on silence from law enforcement.

The TradeSun difference

Nigel’s insights aren’t merely theoretical observations—they reflect years of practical experience building solutions that address these systemic failures. His willingness to present uncomfortable truths about industry-wide problems, combined with his unique background spanning FBI collaboration, human trafficking prevention, and fintech innovation, positions him among the few leaders willing to challenge compliance orthodoxies that others avoid questioning.

TradeSun’s platform represents precisely the kind of network-centric, signal-based approach the industry desperately needs. Rather than simply digitising traditional document review processes, TradeSun maps entire transaction ecosystems. The company’s technology identifies subtle relationship patterns and flow anomalies that isolated transaction analysis misses entirely.

“We don’t just ask whether documents look authentic,” Nigel explains. “We ask whether the entire transaction network behaves consistently with legitimate trade patterns.”

This approach has already demonstrated results that conventional compliance systems struggle to match. By analysing network relationships rather than individual transactions, TradeSun helps institutions move beyond the regulatory theatre that produces those dismal 0.01% conviction rates.

What the industry must do now

The analysis points toward several urgent priorities for financial institutions serious about combating trade-based money laundering:

First, abandon transaction-centric thinking. Modern criminal networks exploit the interconnected nature of global trade. Detection systems must do the same. Banks need technology that maps relationships, not just documents.

Second, embrace signal-based verification alongside traditional document analysis. As Nigel noted, “signals are easier to track” than potentially forged paperwork. IoT sensors, blockchain records, and real-time shipping data provide harder-to-fake evidence of actual trade events.

Third, invest in genuine innovation rather than compliance automation. Simply digitising broken processes won’t solve a 0.01% conviction rate. The industry needs fundamental approaches that criminals actually fear, not navigate.

Finally, demand accountability from the entire system. Banks shouldn’t accept filing millions of reports into regulatory silence. Law enforcement needs feedback mechanisms that help private sector partners understand what works and what doesn’t.

Moving beyond security theatre

The choice facing compliance leaders is stark: continue investing in systems that produce 0.01% conviction rates, or embrace fundamentally different approaches that criminals actually fear.

The 0.01% statistic that Nigel presented will likely become a rallying cry for reform—precisely because it represents the kind of frank assessment the industry requires. His observation that “the organized crime folks don’t have those restrictions and they probably have bigger budgets frankly” captures the uncomfortable reality most executives prefer to avoid.

TradeSun’s network-based methodology offers institutions a path beyond regulatory theatre toward genuine crime prevention. By combining relationship mapping, signal verification, and real-time pattern recognition, the platform addresses precisely the systemic failures identified in the panel discussion.

As Nigel noted from his experience fighting human trafficking: “It’s a shot through the heart to these organized crimes.” The question is whether the compliance industry will finally load live ammunition.

Ready to move beyond 0.01% effectiveness? TradeSun’s network-based platform transforms trade finance compliance from regulatory obligation into competitive advantage. Our approach addresses the systemic failures traditional systems cannot solve.

Connect with our team to explore how network analysis and signal verification can revolutionise your institution’s approach to trade-based money laundering detection. The criminals aren’t waiting—neither should you.

Watch the full panel discussion to hear Nigel Hook and fellow industry leaders explore the practical steps institutions can take today to escape the 0.01% trap.