SmaRT is a standards-based RegTech application that helps lawyers and legal SMEs to unpack regulations into both human-readable and machine-computable formats. It also enables regulators to publish regulations in a machine readable format that enables the machine execution of regulations.
The Mercury methodology and core semantic technologies in SmaRT are based on:
The Mercury Methodology underpinning SmaRT provides a standardized, scalable, systematic approach that overcomes the limitations of current ad-hoc proprietary solutions, which see financial institutions effectively ‘reinventing the wheel’ in terms of understanding regulatory imperatives and developing related governance policies, procedures, risk management strategies, and compliance reporting solutions, whenever new legislation is published or regulations applied to industry.
Thus SmaRT may be deployed to ‘unpack regulations’ systematically using standards-based regulatory and semantic technologies that create, process and store legal knowledge cumulatively, in concert with tried and tested AI and machine learning technologies, into a knowledge base based on semantic technologies.