Velocity FinCrime Solution Suite

 Financial institutions face the challenge of ensuring fast customer onboarding while complying with increasingly strict regulations. Two key components of anti-money laundering (AML) efforts are KYC (Know Your Customer) and CDD (Customer Due Diligence). These steps help verify customer identities, assess risks, and prevent illicit activities. However, many organizations still treat KYC and CDD as separate tasks using disconnected systems. This fragmented approach often results in inefficiencies, data duplication, blind spots, and compliance gaps that can lead to significant penalties. Why Disconnected Systems Fall Short Many compliance teams still rely on manual procedures or outdated technology. This separation creates several problems: Customer Frustration: Slow onboarding processes can drive customers away. Data Redundancy: Information may be entered multiple times, increasing errors. Outdated Risk Profiles: Static risk assessments don’t reflect changes in custom...

Anti-money laundering (AML) compliance is an important pillar of financial integrity. However, since criminals are getting smarter and regulations getting stricter, the pressure on compliance teams has never been higher. Yet, despite so much investment in compliance programs, a lot of financial institutions still stumble on some common compliance mistakes that cost them a lot more than money. And these mistakes happen because of numerous reasons like manual processes, legacy systems, outdated data, and more, making compliance programs vulnerable to errors. This blog post covers the most common AML compliance mistakes and how the right technology can help stay compliant, efficient, and ahead of risk. Let’s get started. Top 5 Compliance Mistakes (and How To Fix Them) From outdated processes to inconsistent monitoring, these compliance mistakes not only weaken defenses but also put institutions at risk of fines, reputational damage, and regulatory scrutiny. Here are the top 5 AML complian...

Financial crime isn’t limited to a specific region - it’s a global issue. However, even though fraudsters operate globally, their strategies change based on local regulations, cultural differences, and various other factors. Let’s say in the USA synthetic identity fraud is the highest growing, money laundering dominates in Australia, and so on. In addition to that, the major markets - USA, Canada, and Australia, have strong financial systems, but their approach to combating financial crimes (and of course the potential risks) differs significantly. For the businesses understanding these differences is crucial because what works for one country might not work for another country. So, how do these fincrime trends vary across the USA, Canada, and Australia? More importantly, what can financial institutions do to stay ahead? Let’s break it down. FinCrime Trends in the USA The United States faces major fincrime challenges due to its fragmented financial system and huge population. Watch for...

Gift cards are everywhere - birthdays, holidays, or even as a quick thank-you gesture. They’re the most versatile, convenient, and universally appreciated thing, right? Check this: The global gift card market was valued at USD 818.42 billion in 2022, and is projected to reach USD 1,897.46 billion by 2030, growing at a CAGR of 10.46% ( Source ) The key drivers? Rising adoption of digital gift cards and increased corporate gifting initiatives. However, here’s the other side: gift cards have become one of the go-to tools for fraudsters. In 2023, card draining and other gift card-related fraud made up $217 million of the record $10 billion in money lost from scams nationwide , according to the latest data released by the Federal Trade Commission. ( Source ) What once used to be a token of appreciation is not a threat in the financial ecosystem, exploited by fraudsters to launder money, scam people, and conduct illicit activities. The question arises: how can financial institutions protec...

- Enhanced compliance efforts - Proper detection of fraudulent activities - AML compliance team working at a 10x speed Sounds too good to be true? Well, it is! The growing advancements in the AI industry are revolutionizing how industries operate, and the FinTech sector is no exception.  The integration of Generative AI in Anti-Money Laundering (AML) compliance processes is revolutionizing the way financial institutions address compliance-related issues. From streamlining operations and strengthening AML compliance to improving efficiency and reducing risk, Generative AI is reshaping the way AML compliance operates. As per reports , the Generative AI in FinTech market size is expected to be worth $6,256.2 million by 2032 from USD 865.0 million in 2022, growing at a CAGR of 22.5% (2023-2032)  Let’s dive deep into the details. Understanding Generative AI and ChatGPT Generative AI is an AI that is capable of generating text, images, audio, videos, and more. It uses neural network...