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Rapid Regulatory Response

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VALUE PROPOSITION

  • Achieving a major Digital Transformation leap, by utilising ELEMENT’s Knowledge Graph to enrich a detailed network of clients, facilities, and document attributes
  • Improving adaptability to regulatory changes and evolving business needs by using low/no code customisation and automating the preparation of management dashboards and reports
  • Decreasing labour-intensive tasks by providing a process-centric, AI-embedded application
  • Enabling the bank to use a golden source of customer data for cross-functional applications and cross-sale opportunities

Enablement of a leading British bank to mitigate a regulatory change impacting hundreds of thousands of documents, by utilising AI to automate and expedite the review process

 

BACKGROUND

The bank was required to migrate all IBOR affected facilities that were maturing beyond a given date

A review of hundreds of thousands of documents from multiple business units was required to create a complete picture of the facilities impacted by IBOR

Heavy reliance on on-premise applications and bespoke spreadsheets limited the bank’s ability to identify all affected facilities without extensive manual labour

Fragmentation was compounded by a lack of integration between on-premise systems in multiple jurisdictions, and the absence of workflows, dashboards and data pipes

TARGETS

  • Build a unified knowledge base, seamlessly correlating information about clients, related facilities, and document attributes across various internal sources
  • Categorise structured and unstructured (text) documents, and determine whether they are IBOR related and whether they mature by a specific date
  • Automate workflows to link and match documents to approved facilities and record them in the relevant systems

ADDRESSING THE NEED

  • Constructed a comprehensive Knowledge Graph integrating the bank’s core infrastructure — including document repositories, and e-share and core loan systems, to enrich profiles of clients, facilities, and documents, along with their attributes
  • Configured a document parsing engine to analyse structured and unstructured documents and automatically identify attributes based on a set of facility dimensions and characteristics, using Natural Language Processing
  • Created workflows to assist the bank’s stakeholders in choosing the right remediation process by uncovering patterns in contractual documents and preparing bespoke management dashboards and reports, using AI technologies

 

 

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About BlackSwan Technologies

BlackSwan Technologies is a SaaS Product company. Its Flagship product ELEMENT is a cognitive operating system that enables rapid development of Enterprise AI-Driven applications. ELEMENT is the foundation that can be used by enterprises across multiple industries to build robust AI applications, tools and workflows. With hundreds of pre-configured data fetchers, analytical functions, models and user interface components, element makes heavy use of knowledge graphs and a range of Machine Learning techniques to help companies improve outcomes and reduce costs.

BlackSwan ELEMENT is trusted by some of the largest, fastest, and most innovative companies in the world.