NBFC Concurrent Audit Analytics
Revenue Leakage & Fraud Detection
“Provided the concurrent audit team with actionable insights into revenue leakage, process delays, and potential fraud indicators, improving the quality and coverage of audit procedures.”
- 01
The problem
A leading NBFC required analytics-driven concurrent audit support to identify revenue leakage, turnaround time inefficiencies, and potential fraud indicators across operational and financial processes.
- 02
What Karthik shaped
Karthik led audit analytics activities using ACL, Tableau, and Excel to analyze transaction patterns, identify revenue leakage, detect TAT exceptions, and surface potential fraud signals. He built a fraud detection dashboard and supported field audit activities with evidence-based exception reporting.
- 03
Decision/tool delivered
Provided the concurrent audit team with actionable insights into revenue leakage, process delays, and potential fraud indicators, improving the quality and coverage of audit procedures.
Business impact
- Identified revenue leakage indicators
- Detected turnaround time inefficiencies
- Built fraud detection dashboards
- Improved audit coverage through analytics
- Supported field audit with evidence-based exceptions
