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Rapid Regulatory Response



  • 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



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


  • 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


  • 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



Other Use Cases

Next generation FIU technology PaaS for ventures brands (outperforms legacy systems using paid sources) – demonstrating advanced data source integration and rapidity of deployment[...]

Modernization of the cyber insurance infrastructure for a world-leading reinsurance company serving the entire insurance lifecycle, supporting underwriters, brokers and clients[...]

Enhancement of data acquisition for a global consulting firm that advises Fortune 1000 companies, transforming data gathered from open and restricted sources into valuable insights [...]

Enablement of tier 1 international bank to more efficiently extract entity information from internal and external documents, by utilising text analytics [...]

About BlackSwan Technologies

BlackSwan Technologies is reinventing enterprise software through Agile Intelligence for the Enterprise – a fusion of data, artificial intelligence, and cloud technologies that provides unparalleled business value. Our multi-tiered enterprise offerings include the award-winning platform-as-a-service, ELEMENT™, which enables organizations to build enterprise AI applications at scale for any domain quickly and at a fraction of the cost of alternatives. BlackSwan and its global partners also provide industry-proven applications that are ready-made and fully customisable for rapid ROI. These offerings are generating billions of dollars in economic value through digital transformation at renowned global brands. The private company maintains gravity centers in the UK, Europe, Israel, the US, and Sri Lanka.