Fraud and Revenue leakage in AP using AI

The Client – One of world’s largest consumer goods company.

The Scope – The client wanted to set up a system to proactively monitor frauds. It wanted to harness the power of data analytics to detect and prevent fraud and corruption.

The Solution – 

  • Analytical Rules

  • 50 Rules to analyze Procurement process using:

    • Master Data, Transaction data and Log data from SAP and Ariba

    • Third-Party data (Address, Email, SEC,  Duns & Bradstreet,  AML List,  Restricted party list)

  • Collated the outcome of 50 rules and  generated Fraud risk model using Regression analysis

  • Deep-dive into identified  suspicious transactions by analyzing documents and conducting interviews

  • Case Management  Tool to track investigation for all cases

The Outcome

  • Identified  suspicious transactions

  • Identified process and data gaps

  • Defined key fraud  indicators

  • Provided inputs for technology requirements.

    • Use cases that require analysis of large volumes of data

    • Use cases that require real-time alerts