Survey of Artificial Intelligence for Automated Regulatory Compliance Tracking
Tushar Khinvasara *
Medical Device and Pharmaceutical Manufacturing, USA.
Abhishek Shankar
Indian Institute of Technology, Madras Founder Mybabybridge, Limerine Software Pvt. Ltd., India.
Connor Wong
Sage Hill School, USA.
*Author to whom correspondence should be addressed.
Abstract
For businesses trying to negotiate complex rules, the use of artificial intelligence to automate the tracking of regulatory compliance is a significant advancement. Automation of enforcement and monitoring is achieved by leveraging state-of-the-art technology like machine learning and natural language processing. By using artificial intelligence technologies, businesses may swiftly determine whether rules apply to their operations and look into how those constraints effect their operations. These systems can entirely adapt to laws that are always changing, make sure you are following the rules, and lessen the possibility that anything goes wrong. Artificial intelligence has the potential to help identify compliance issues and promptly address them, eliminating the need for you to worry about paying a fee. Additionally, by automating time-consuming tasks like filing papers and creating reports, it frees up your team to focus on more important tasks. The use of artificial intelligence for compliance tracking offers businesses a scalable, economical, and efficient approach to managing regulatory difficulties in the ever-changing corporate environment.
Keywords: Artificial intelligence, compliance, tracking, automation