RegTech Helps Businesses Adapt to Regulatory Change with Customized Tools

Transitioning businesses from high-risk manual processes to scalable, AI-driven compliance monitoring and governance.

In recent times, automated regulatory intelligence has proved to be a game changer in helping business transition from slow, costly, and high-risk manual processes to more efficient ones. As a RegTech-driven solution, it offers promise but has a learning curve that is not always straightforward. Nevertheless, understanding how it works in practice and the value it delivers is a rewarding investment of time and resources. In particular, regulatory intelligence can help address the resource-intensive challenges that compliance teams of businesses in heavily regulated sectors face. Examples of these industries are payments, financial services, and gambling, among others.

Essentially, the entire process of monitoring and interpreting regulatory intelligence assisting an organization to understand what is changing, relevant, and the necessary course correction measures to be taken is referred to as regulatory intelligence. When this process is made faster and scalable by combining AI to process large volumes of regulatory data, it is known as automated regulatory intelligence. It involves analysis by experts who curate, validate, and contextualize the most important updates. Most platforms are built around three core layers – monitoring automation, intelligence automation, and workforce automation. Even though a firm’s business model and regulatory architecture determines the practical application of automated regulatory intelligence tools, all businesses share the common objectives of helping compliance teams monitor change efficiently and support business needs quickly while reducing the risk of inadvertent oversight.

Moreover, the use of automated regulatory intelligence tools can be multifaceted. For instance, some of the common uses are horizon scanning that refers to the ongoing process of monitoring regulatory development across markets and authorities, enabling market expansion decisions, helping teams transition from update to action stage, and streamlining governance and accountability. Additionally, such tools can also make it easier for business to provide proof relating to auditable process undertaken by them for identifying and implementing regulatory change. This helps meet the external stakeholders’ expectation of being provided concrete evidence. Thus, CIO Bulletin views automated regulatory intelligence as an indispensable tool in helping businesses address their pressing compliance and regulatory challenges.