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Transaction Intelligence

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VALUE PROPOSITION

  • Reduce the time spent by investigators on manual research via automating entity enrichment from internal KYC systems and external sources
  • Provide a holistic view of risk with analytics that utilize an enterprise knowledge graph, a comprehensive, real-time representation of all relevant entities and their relationships
  • Reduce false positives using advanced rule-based, network- and relationship-based scenario modelling
  • Lower Total Cost of Ownership by shifting to OPEX via cloud infrastructure and PaaS. Decrease labor-intensive tasks by providing process-centric, AI-embedded applications

Improving the quality of Anti-Money Laundering processes while reducing the associated costs through process automation

 

BACKGROUND

High cost of operation – Anti-Money Laundering (AML) alert generation, alert triage and case investigation processes were largely manual, with very high rates of false positives (appx. 99%)

Legacy systems had limited automation and configuration capabilities, no self-learning capabilities, no entity enrichment from external (open or paid) sources, and no visually-assisted ability to explore related transactions and entities, resulting in manual investigation processes

High false-positive rates due to legacy, deterministic rules-based scenarios. Rule-based legacy monitoring systems produced many unproductive or low-productivity alerts and scenarios

Manual work procedures and multiple sources of data led to biased, segregated cases with limited or no feedback loop from operations

TARGETS

  • Reduce false positive rates and alert triage times
  • Improve investigation process and visualization and insight tools
  • Improve alert configuration options including ease of creation, setting, grouping, tuning and testing

ADDRESSING THE NEED

  • Case and Alert Management tools to investigate alerts and log findings
  • Link Analysis tools for deep investigations, counterparty enrichment, and automated insights – revealing hidden links, networks and suspicious or non-obvious relationships, to seamlessly present a “customer 360-degree view” to the analyst
  • Easily configurable alert triage, suppression rules, workflow orchestration and dashboards
  • Ability to easily develop and deploy new scenarios utilizing full breadth of available data and risk factors including rules tuning and testing environment – accessible via user friendly UI, not requiring technological teams and expensive procedures

To read more about ELEMENT™ of Compliance CLICK HERE

 

Other Use Cases

KYC Utility – demonstrating modular, cross-functional nature of ELEMENT as part of a combined SaaS and Managed Service provision[...]

Modernization of a tier-1 bank replacing multiple legacy systems with PaaS based applications – demonstrates multi-purpose, digital transformation inside a highly regulated data-intensive organization and as an OEM[...]

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

Improvement of lead generation as part of customer acquisition at a world-leading bank, by monetising information available to the bank from internal and external sources [...]

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.