1 Overview
OFS Investigation Toolkit accelerates investigations by bringing relevant information sources together (including external API calls to sources such as Quantifind), and preventing the need for the manual collation of information from disparate sources (where data is not available in OFS Enterprise Case Management). OFS Investigation Toolkit automatically generates case narratives and insights, highlights risk factors, and red flags that are meaningful to the investigation, and recommends actions based on the scoring algorithms as required.
Investigation Toolkit comes with a selection of notebook templates for customers to adapt for their own Investigative needs. Multiple types of notebooks or configurations of the same notebook can be configured and are permission driven.
- Investigation Flow Template - Focused on case information, configurable narratives and highlighting of case risk factors. It follows the flow of a typical investigation.
- ECM Integration L1 Template - Primarily for users who would heavily leverage the graph in their Case Investigations, expanding beyond the boundaries of the original case.
- Special Investigation Template - Like the L1 Template but the starting point would be an entity name search rather than a case id.
- Case Narrative Template - Simple template which does not include a graph but is focused on providing a case summary as a narrative.
The L1 and Special Investigations Notebooks are built on the Financial Crime Graph Model Schema which is configurable within OFS Compliance Studio and optionally provides the capability for matching to third-party sources of data like ICIJ and well as linking internal similar internal parties.
Key Features
- Pre-built notebooks for case investigation and special investigation
- Configurable red flags and risk factors to highlight key areas for investigation
- Case summary in narrative format and case recommendation
- Exploration of the financial crimes global-graph using an interactive and visual Graph Explorer tool
- Integrates fully with FCDM (data can be loaded directly from Behavior Detection (AML) or ECM instance) and ICIJ data sources. It can be enhanced to support other data sources such as watchlist and company hierarchy data
- Built on OFS Compliance Studio, which includes a highly scalable in-memory Oracle Graph Analytics Engine (PGX), AI, and machine learning
- Integrated with Quantifind API for additional information on case entities