AI-Enabled Regulatory Change Management

Reduce Compliance Risks with Trustworthy AI-Enabled Regulatory Change Management

Stay in front of fast-changing regulatory change by adopting a pro-active approach to regulartory compliance.

Easily reduce compliance risks with Omina’s Trustworthy Regulatory Change Management Prediction Engine.

The Business Problem

Compliance

Organizations must contend with an increasing pace of regulatory change and rising compliance risks. According to regulatory compliance experts the yearly number of regulatory changes has risen from 8,704 in 2008 to more than 58,000 in 2020. A new regulatory change is issued every seven minutes and financial institutions must triage more than 220 regulatory changes every day.

But rising compliance risks are not solely a concern for organizations working in highly regulated industries. Any company that hires employees, pays taxes or processes personally identifiable information is facing an increasing regulatory burden. Current solutions to Regulatory Change Management (RCM) and treatment of Compliance Risks typically include manual processes with minimal-moderate technology assistance. The current framework does not adequately identify potential compliance risks and does not engender trust for all stakeholders.

Why AI Improves Regulatory Change Management

human in the loop

An AI-enabled Regulatory Change Mangement (RCM) application provides the solution.

The application includes an AI prediction engine that:

– identifies regulatory changes relevant to an organization

– provides compliance managers with information about the change

– and predicts a risk rating for the change.

The RCM AI prediction engine improves on manual/semi-automated processes by automating filtration of changes and providing responsible individuals with information necessary to maintain organizational compliance.

Moreover, the RCM AI prediction engine allows users to verify predictions and create a knowledge base directing future predictions.

Finally, the RCM AI prediction engine is flexible and scalable – it can grow with an organization that is entering new lines of business or making new acquisitions. These elements of the RCM AI prediction engine build trust and acceptance for all stakeholders.

The Application

regulatory change

The RCM AI prediction engine monitors one or more sources for regulatory changes, identifies regulatory changes relevant to the organization, scrapes information describing the change and presents it to designated users (e.g., business unit compliance managers, risk managers) along with a compliance risk rating that allows for prioritization of actions on various regulatory change events. Further, the RCM AI prediction engine includes a feedback loop that builds trust by allowing users to verify results and teach the system to improve future predictions.

Monitoring for Regulatory Change from first-party and third-party sources for publication of regulatory changes.

Identifying Regulatory Change that are relevant to the organization based on lines of business, business locations and other factors. The solution filters out regulatory changes that do not pose compliance risk or fall below some risk threshold.

Scraping Regulatory Change Information to evaluate the scope of the change and to determine the required actions to maintain organizational compliance.

Presenting Regulatory Change Information prioritized by predicted compliance risk rating in a dashboard: a change summary, full text, links, effective dates, a risk rating, etc. The application predicts a risk rating for each regulatory change based on compliance risk factors and the organization’s risk profile. Data can also be fed into a workflow tool.

Continuously Improving the Solution based on User Feedback. The user can accept or reject predicted compliance risk ratings. The user can also identify regulatory changes that were filtered out by the solution and mark them as relevant to the organization. This user input along with feedback on how the organization acts on regulatory changes, continuously improves the performance of the AI-enabled regulatory change management.

 

In sum, the RCM AI prediction engine improves compliance processes by automating processes while still allowing user feedback for verification and system improvement purposes. Increasing use of the system builds the trust of stakeholders as user verification and solution training provide continuous confirmation of results and solution improvement.