Developing a Custom Investigation Management Solution

Java based Custom Investigation Management Software [CASE STUDY]

With rising online fraudulent activities in Finance, our client wanted to automate investigation process and deliver faster case resolution. We developed a custom investigation management solution using Java technologies and followed CMMI 3 processes to adhere with the standard development norms.

Objective

With the recent resurgence in regulatory enforcement actions and media focus on anti-money laundering (AML) & sanctions issues, financial institutions are under tremendous pressure to monitor and identify suspected illegal activity. As a result, the client required an Investigation management software in its AML compliance program. The investigation management solution developed by us automated the process for detecting, investigating and reporting suspicious behavior activities in financial institute.

Challenges

Lack of group-wide compliance and supervision
Low monitoring and evaluating new AML events and rules
Unstructured analysis of customer transactions and low security
Manual process of Suspicious Activity Reports (SARs) filings

Approach

On understanding the client’s business challenges and requirements, Rishabh Software leveraged Java application development to build an investigation case management software, designed to enable financial institutions to identify, develop and apply money laundering and risk assessments in financial transactions.

Investigation-Management-Software-Solution

Investigation management software used pattern based approach for identifying transactions, monetary instruments and dates of transactions. It used business intelligence techniques and provided a wide array of predictive and early warning alerts. The solution served strong anti-fraud, anti-money laundering and business intelligence capabilities.

Business Benefits

Generate investigation reports automatically
Business intelligence through in-depth monitoring
Ensure compliance and international norms for fraud events
Automated process for detecting, investigating and reporting suspicious behavior

Industry Segment

Finance

Customer Profile

Based in New York, USA, the organization was founded in 2006 as a research and development firm specializing in real time data analysis for the purpose of dynamic knowledge management (“dKM”), data surveillance and business intelligence. The client offers a wide range of risk management and knowledge management financial services.