In the world of regulatory change management (RCM), AI is proving to be a revolutionary force, transforming every step of the process and generating substantial business value.
According to 4CRisk.aiBy looking at a typical RCM workflow, we can see how AI not only streamlines operations, but also significantly improves return on investment (ROI), providing a competitive advantage in regulatory compliance.
At the forefront of this transformation is 4CRisk Regulatory Change Productwhich offers a potential for 5 to 20 times efficiency improvement. In an example with the assumptions at each step of the process, described below, 4Crisk.ai shows how
A return on investment achievable in less than a year. This translates to annual savings of $178 million, assuming the cost of a full day for a staff member is $500 ($120,000 per year). Most importantly, it frees your employees from tedious manual tasks, allowing them to focus on higher-value analysis and decision-making.
The first step consists of anticipating regulatory developments through prospective analyses. During this phase, AI tools such as 4CRisk can quickly analyze numerous regulatory documents, extract and summarize relevant changes and label them for easy reference. This feature significantly reduces the time spent by subject matter experts (SMEs) from days to just minutes, demonstrating up to 20x faster efficiency improvement compared to traditional methods.
Then, the AI system analyzes and maps various rules, regulations and laws to the organization’s policies and controls. Here, AI significantly improves the manual work – 4x faster than a single human – required for compliance framework management by automatically performing applicability and impact analysis as well as difference analysis to see required policy and control revisions. This not only ensures compliance but also improves the organization’s agility to respond to regulatory changes.
The third step focuses on identifying, accessing and managing changes. AI facilitates detailed analysis of the impact of each regulatory change on policies, procedures and controls, streamlining this process fourfold compared to traditional methods. 4CRisk’s AI models provide insights into the potential impacts of regulatory changes, enabling organizations to effectively prioritize actions.
In managing changes until finalization, AI further demonstrates its value by enabling rapid updates to compliance documents and recommending precise language changes. This step increases efficiency threefold, ensuring that changes are implemented quickly and accurately.
Finally, AI makes it easier to create reports and answer questions related to regulatory compliance. By automating data consolidation and reporting, AI cuts the required efforts in half, enabling more accurate and faster governance and compliance activities.
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