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Compliance & Risk

How can organizations comply with regulations more quickly and effectively by using AI?

Rabihah Butler  Manager for Enterprise content for Risk, Fraud & Government / Thomson Reuters Institute

· 5 minute read

Rabihah Butler  Manager for Enterprise content for Risk, Fraud & Government / Thomson Reuters Institute

· 5 minute read

In a world in which governmental regulations are evolving at lightning speed, staying ahead of the compliance curve is a strategic advantage — and incorporating AI-driven tools into companies’ compliance toolkits is essential

In today’s environment, governmental regulations are evolving at an unprecedented rate, varying widely between location, political administration, and industry. While trade and tariffs are paramount concerns currently, it is crucial to recognize that regulatory issues continue to advance.

For companies’ compliance professionals, addressing these requirements promptly is imperative, particularly given the unpredictable nature of enforcement timelines. To navigate this landscape effectively, strategic and efficient action is essential.

In this rapidly changing regulatory environment, organizations must implement a comprehensive approach to compliance. A variety of corporate functions are essential to ensure proper compliance management, including on-boarding, auditing, investigations, and several other activities. Additionally, companies’ technology departments play a crucial role in maintaining institutional operations by ensuring that coding and software effectively address relevant issues.

For compliance professionals, this involves incorporating AI into your toolkit at appropriate stages in the compliance process.

Leveraging AI for compliance

To fully leverage the advantages of AI, it is essential for compliance professionals to seek out customizable platforms or tools that meets their departments’ specific requirements and provides the necessary infrastructure for future applications. AI compliance tools are engineered to assist organizations in adhering to regulations and best practices when deploying AI. These tools can automate tasks, analyze data to identify potential risks, and offer real-time alerts for regulatory changes. Common applications of these tools include risk management, compliance monitoring, reporting, and more commonly, aligning with best practices.

Indeed, some key reasons for using AI in regulatory compliance include:

Efficiency, speed & accuracy through automation — AI can efficiently process extensive data sets, crucial for meeting regulatory demands that require comprehensive documentation and timely analysis. AI tools can improve precision by adhering to established rules more consistently, ensuring accurate and dependable compliance. By automating routine tasks, AI frees up time for compliance professionals to concentrate on complex decision-making and strategic planning, which is particularly advantageous in sectors with intricate regulatory frameworks.

Data analysis & predictive analytics — AI excels in identifying data patterns and trends, aiding organizations in detecting compliance risks and areas for improvement. Through the analysis of historical and current trends, AI can forecast future compliance issues, enabling organizations to manage potential risks proactively.

Cost-effectiveness — The integration of AI for automating compliance procedures substantially lowers costs associated with manual inspections and audits by increasing individual productivity. The initial investment in review, setup, and training can be justified because employees will be eventually empowered to deliver output of a higher-quality and a greater quantity.

Adaptability — AI systems possess the capability to be updated in accordance with evolving regulations, ensuring ongoing compliance as laws and standards change. Modern AI systems specifically designed for regulatory compliance can be rapidly modified to incorporate new regulations, even lowering overall personnel training costs and time needed to get up to speed on new rules.

Enhanced monitoring — AI also facilitates continuous monitoring of activities and transactions, delivering real-time alerts and insights to maintain compliance. One of the most effective tools for regulatory compliance is real-time tracking and alert systems which can consistently monitor regulatory sources for updates and interpret changes immediately within the context of existing regulations. AI utilization in this process allows for the identification and notification of the most pertinent changes. Further, with advanced AI coding, the system can recommend policy updates in response to regulatory changes, thus providing additional support for compliance efforts.

Regardless of the reasons for investing in AI, it is crucial to allow corporate risk & compliance functions to allocate resources during these developmental stages. Going forward, AI will become increasingly complex and costly; yet to neglect with current technology undermines organizations’ future prospects for success.

Conclusion

As the regulatory landscape continues to evolve, it is imperative for organizations to adopt a proactive and comprehensive approach to AI-driven compliance management. By using AI to automate routine tasks, enhance data analysis, and provide real-time alerts, compliance professionals can better anticipate and mitigate their organizations’ potential compliance risks. And as institutions aim to align with best practices, integrating AI into their compliance processes ensures agility and responsiveness to regulatory changes, thereby safeguarding operations and preserving their competitive edge.

There is no indication that the rapid pace of executive orders and regulatory changes will decelerate. It is imperative that regulatory compliance is viewed by corporate management as a cost-saving measure rather than an expense. Candidly, this means that AI-driven regulatory compliance tools need to be a real investment for organizations to undertake.


You can find out more about how some companies are managing their compliance and risk here

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