As the CCO of smartKYC, I’ve been at the forefront of innovation in due diligence and Know Your Customer (KYC) screening processes for many years.

In a recent webinar session hosted by Ian Lawless, Head of Content Partnerships and Event Director at Procurement Leaders, Dermot Corrigan, CEO discussed how a combination of natural language processing and generative AI can do all the heavy lifting associated with due diligence discovery at both onboarding and during the lifetime of the relationship in real-time, preventing risks from gathering momentum and developing into a full-blown crisis.

We have won the award for ‘Best Proposition for AI, Machine Learning’ in the Data Management Insight Awards Europe 2023

We have won the award for ‘AI Technology of the Year’ in the 2023 Business Awards UK’s Technology Awards!

Multilingual NLP in adverse media screening can help unmask modern slavery.

From manually reviewing news articles to using natural language processing (NLP) to analyse open source data online, adverse media screening processes have changed substantially in recent years. But the goal remains the same: to protect your institution and your customers from potential risk and improve KYC processes. With AI solutions, that goal is now significantly more attainable.

The current role of KYC screening in PBWM KYC screening plays a crucial role in PBWM industry, ensuring compliance with regulations, mitigating financial risks, and maintaining the integrity of the financial system. As the industry evolves, the adoption of digital KYC screening processes becomes increasingly important to streamline operations. However, this sector faces unique challenges

Adverse media screening dates back several decades and has evolved alongside the changing media landscape.

We have won the award for ‘Best AI/ML Solution for ESG’ at the ESG Insight Awards!

KYC (Know Your Customer) screening is an essential process for businesses to identify and verify their clients’ identities as well as surfacing any potential risks associated with them. This process helps mitigate the risk of financial fraud, money laundering and other illegal activities by following KYC regulations. The information gathered during KYC screening can come from various sources, including both structured and unstructured data sets; processing these data sets presents several difficulties that businesses must overcome.

As we addressed in our latest adverse media post, there is an array of categories—and subcategories— of negative news screening that need to be properly screened for accurate and relevant results. But how do people look for and analyse adverse media in foreign languages? And why is this still so difficult?