Most companies believe the answer to all their AML compliance problems lie in three main areas,
- The purchase of very expensive software platforms
Many firms invest heavily in advanced AML software solutions that use AI and machine learning to detect suspicious activities, screen customers against global watchlists, and monitor transactions in real-time.
Most of those systems come with a significant price tag and lengthy contract terms, and for the most part is out of reach for the small to business owner.
2. Hiring more Compliance staff
Companies often think increasing the number of compliance officers and investigators will help manage the growing volume of alerts and regulatory requirements, aiming to reduce risk through human oversight. Probably not, a bit like ‘building more motorways, you’ll get more cars”.
The trick is to work smarter not harder.
3. Implementing complex internal processes
Organisations tend to develop extensive policies, procedures, and manual controls to ensure compliance, believing that stricter governance frameworks will mitigate AML risks effectively.
Frequently this can end with the creation of unnecessary bureaucracy, resulting in controlling your staff, rather than controlling the problems. Apply the KISS principle, Keep it Simple Stupid.
Applying the principles I learnt many years ago from Intelligence Led Policing (ILP) to AML compliance I wish to suggest how organisations can tackle financial crime by focusing on smarter, targeted actions rather than overwhelming resources indiscriminately.
Here are the three things that I recommend you do
Prioritisation based on intelligence, due diligence and risk assessment
Instead of applying a “kitchen sink” approach by investigating every customer or business equally, AML teams should prioritise cases using data driven risk assessments and intelligence.
This means focusing resources on the highest-risk customers, transactions, and typologies identified through analytical insights, much like police target hotspots and high-risk offenders.
Intelligence driven technology and processes
Deploy AML technology not as a blunt instrument but as a tool integrated with intelligence-led strategies. This means using AI and a platform that will generate meaningful intelligence that guide investigations and compliance decisions.
Technology should support focused, evidence-based decision making and provide records of those decisions.
Practical, scenario-based training
Move beyond theoretical knowledge to include practical scenarios and real-world case studies. This approach if led properly, encourages debate and opinion, helping employees apply their knowledge effectively, recognise red flags, conduct customer due diligence, and respond to potential money laundering risks. It allows them to develop critical thinking and decision-making skills essential for investigations
By adopting these intelligence-led practices, prioritisation based on risk intelligence, using technology strategically and providing practical training organisations can achieve more efficient, effective compliance and better combat financial crime.
Want to know more? We should talk, because, we offer Investigations, Training and Technology.
