Toward automated regulatory compliance

Autor: Rahul Kumar, M. Raghunandan, Vinay Kulkarni, Suman Roychoudhury, Sagar Sunkle, Deepali Kholkar
Rok vydání: 2021
Předmět:
Zdroj: CSI Transactions on ICT. 9:95-104
ISSN: 2277-9086
2277-9078
DOI: 10.1007/s40012-021-00329-4
Popis: Businesses are getting increasingly regulated. Regulatory compliance is a board level concern and one of the top-3 CEO level concerns across business verticals. Failure to comply leads not only to heavy fines but reputational risk too. Current practice of regulatory compliance is document-centric, and therefore, heavily reliant on human experts. Given the large size of modern enterprises, their multi-geography operation, increasing dynamics, and frequent changes in regulations, the current practice of regulatory compliance is found wanting on correctness, responsiveness, and scale. Introduction of appropriate technology seems necessary to overcome these challenges. In this paper, we present an AI-aided model-driven automated approach to regulatory compliance and supporting technology infrastructure. We describe how the approach has fared in real-world industry-scale context and outline future work.
Databáze: OpenAIRE
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