On paper, mid-size and community banks in the United States should feel secure. A recent survey found that 94% of anti-money laundering (AML) professionals at these institutions are confident in their ability to spot criminal activity. But confidence can be deceptive. Nearly half of those same professionals admitted their investigations are slow, inefficient, and undermined by outdated technology.
This tension – between confidence and capability – sits at the heart of a new study conducted by Quantexa, which surveyed 200 AML specialists. The findings shed light on an industry segment that rarely makes headlines yet plays a critical role in the American economy. These banks are the lenders of choice for small businesses and local communities. They are also increasingly on the front lines of a global financial crime problem that the United Nations Office on Drugs and Crime estimates drains $800 billion to $2 trillion each year, or roughly 2–5% of global GDP.
Large international banks often attract regulatory attention and media scrutiny, but smaller regional institutions face the same compliance expectations – with far fewer resources to meet them. Their teams are lean, their systems often dated, and their budgets stretched thin. That leaves them vulnerable to increasingly sophisticated criminal networks that exploit technological gaps as readily as legal ones.
The survey findings make the challenge clear. Almost half of respondents pointed to outdated systems, fragmented data, and the absence of real-time monitoring as their biggest barriers to effective AML. Others highlighted operational inefficiencies: investigations bogged down by high false positives and manual processes that drain limited staff capacity. Nearly half also acknowledged a lack of in-house expertise to modernise AML programmes.
“Mid-size and community banks are the heart of Main Street America, powering small business growth and local economies,” said Chris Bagnall, Head of Financial Crime Solutions for North America at Quantexa. “With financial crime evolving faster than ever and outdated systems leaving them exposed, these banks have a critical opportunity to harness better data and AI to make smarter decisions and protect the communities and businesses they serve.”
Yet technology is only part of the equation. Regulatory uncertainty compounds the problem. Forty-five percent of AML professionals surveyed said unclear guidance around new tools such as AI is slowing progress. The result is what many describe as “decision paralysis” – a reluctance to invest in innovation without clearer signals from regulators.
Despite these headwinds, there are signs of optimism. The vast majority of respondents see AI, contextual data, and real-time monitoring as essential to modernising their programmes. Nearly all (93%) said that information sharing between banks under Section 314(b) of the USA PATRIOT Act is critical for detecting illicit activity. Collaboration – both across institutions and with regulators – is increasingly seen as a way to level the playing field.
The report concludes with a call to action: modernise outdated systems, invest in people and processes, and move beyond static monitoring to dynamic, data-driven defences. The message is clear – failing to adapt risks leaving the institutions that power America’s local economies exposed to growing threats.
What emerges is more than a snapshot of survey data. It is a story of resilience under strain. Mid-size and community banks may be confident, but unless they bridge the gap between perception and reality, their confidence could prove misplaced. In an era when financial crime is evolving faster than ever, standing still is not an option.
Subscribe to our newsletter
