Compliance
UK's AML Strategy Hits Right Notes, But Is "Partial Fix" – smartKYC

We talk to the CEO of an enterprise solution business for KYC due diligence automation about the UK government's new strategy for combatting dirty money.
The UK government’s three-year
AML strategy plan demonstrates the international nature of
the money laundering threat, while some of the measures envisaged
will only partly resolve the shifting patterns of dirty money, an
expert argues.
Under plans unveiled in parliament this week, the UK is to add
500 staff to its roster of people handling anti-money
laundering and invest “at least” £550 million ($739.5
million) into these efforts. The strategy will roll out over
three years to 2029. In the first year, part of the strategy will
be to “further disrupt Russian-speaking professional money
laundering networks.”
Part of the strategy involves improving data on beneficial
ownership, as affecting the information collected and held at
Companies House, and the Register of Overseas Entities.
These measures, while positive, are only a “partial
fix,” Dermot Corrigan (main picture), chief executive of
smartKYC, an
enterprise solution for KYC due diligence automation, told
WealthBriefing when asked about the government’s
reforms.
“Registers tell you who owns this asset, not how the individual
accumulated their wealth,” Corrigan said. “We see an increased
demand for our products that corroborate wealth, quantitatively
and qualitatively so that three questions can be answered
– can the existence of wealth be confirmed, can its
plausibility be assessed and can documentary evidence be
produced. So now with AI, much of this can be done faster,
better, and as frictionlessly as possible.”
The international dimension remains a major area, Corrigan said,
noting that the 101-policy paper set out to parliament this week
highlighted a major Russian case, showing the international
aspect of these issues.
“The international nature of the threat is apparent in the
strategy’s own showcase case. Operation Destabilise was a
Russian-speaking professional laundering network,” he said. “The
links ran to a bank acquired in Kyrgyzstan to facilitate
sanctions evasion, and to a Bulgarian network convicted of spying
for Russia. Any organisation would be blindsided to the KYC and
screening risk without technology to support, Russian, Kyrgyz and
Bulgarian language investigation.”
“The screening ground truth can come from a range of sources:
court records, regional news articles, company filings, or
parliamentary committee transcripts, and these can be written in
a plethora of languages/scripts, including non-Latin ones such as
Cyrillic, Arabic, Chinese and Hebrew. This is where legacy
systems often struggle and where AI-led ones have the edge,”
Corrigan continued.
Complexities
The government’s statement, presented in parliament this week,
explains the challenge that complexity of structures and networks
creates for law enforcement and compliance.
Corrigan commended the administration’s honesty on the
matter.
“It is fair to say that the regulated sector’s tooling has
struggled to keep up. Our experience of serving the wealth sector
is that structural complexity is a particular challenge. Your
counterpart is not the high net worth client alone but their
network too – trusts, special purposes vehicles,
foundations, family offices, nominees and other legal
representatives,” he said. “We stress the importance that any KYC
or screening tooling should treat the entity and this entourage
of associated parties as one dynamic cluster as it evolves during
the relationship.”
smartKYC uses modern technology to help clients,
including wealth managers and banks, handle a blizzard of
information relevant for know-your-client work, such as media
reports in foreign languages. A year ago, we carried
this article from the firm explaining the state of play, and
one that has also been affected by AI.
Part of what is at stake is harnessing technology to alleviate
frictional costs that bankers and others face in responsibly
managing due diligence and onboarding tasks, mindful that
onboarding “abandonment” can be a significant challenge.