Using a combination of natural language processing, text analytics and topic modelling techniques, FinregE can extract obligations and actions required under regulatory rules. For financial institutions, these regulatory obligations can be worked with to produce compliance procedures, policies and standards linked to the actual actions required under a regulatory rules text. Regulatory obligations mapping can also be used to highlight gaps in existing policies and standards.
Working with FinregE obligations empowers institutions to develop and maintain an organised and fully mapped digital repository of rules, obligations and associated internal procedures and policies. This increases the capability to search for and adapt regulatory compliance for reporting and change purposes.
Contact us today to try FinregE Obligations and find out more about building a fully linked regulatory obligation to business compliance standards internal library.
Monitor compliance in real-time: both your status and processes
Access machine-readable libraries of financial global rulebooks
Extract insights on regulatory actions and requirements across rules
Map rule requirements automatically across your compliance policies
Use workflows to action and record the life cycle of regulatory compliance
Conduct compliance reporting with dashboards to view your landscape
Why use FinregE to meet regulatory obligations?
FinregE comes with several useful features that can help manage your regulatory obligations.
By using the platform, you can:
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FREQUENTLY ASKED QUESTION
Why use FinregE?
Tax compliance and regulatory requirements tend to differ based on local and regional jurisdictions. Regardless of these differences, however, all financial firms need to maintain a meticulous record of their internal and external data to ensure that they are in line with regulatory policies.
Maintaining a thorough record makes it easier to process the necessary data to support compliance reporting.
Techniques used for monitoring and maintaining regulatory compliance depend on the model or framework financial institutions use for this purpose. Regardless of the framework used, however, RegTech can optimise and enhance existing capabilities through the power of AI-driven automation.
Automated systems make it easier to meet regulatory requirements by scanning the latest updates from regulatory bodies and relaying the information back to financial teams. Thereafter, these systems assess existing procedures to identify any compliance gaps and may even recommend remedial action.
This insight allows organisations to be more agile and responsive when it comes to meeting financial regulatory requirements.
Compliance issues span various aspects of financial operations, ranging from anti-money laundering procedures to data security measures. Other examples of compliance issues cover consumer protection measures, operational resilience, and fraud.