Bhubaneswar commissionerate police have initiated the procurement of an AI-powered financial investigation platform that will help officers analyse bank statements, trace fund flows and identify suspicious and mule accounts in financial fraud cases.
A senior police officer said the proposed system would convert large volumes of banking and complaint-related financial data into a structured, searchable and traceable format. The objective is to reduce the time investigators spend manually examining thousands of pages of bank statements and transaction records, often covering several years.
The platform is expected to automate statement processing, transaction reconciliation and fund-flow tracking. It will allow investigators to follow money trails, identify beneficiary accounts, detect suspicious transaction patterns and connect seemingly unrelated complaints, police officials said.
The proposed system will function as an end-to-end investigative platform. According to officials, it will import and organise bank statements and complaint data, integrate information from different sources and present complex financial networks through timelines, relationship maps and transaction trails.
Its planned functions include statement and complaint-data processing, case intake and complaint consolidation, transaction tracing, financial analysis, network and geographic mapping and investigation reporting. The system is also expected to support money-trail analysis, mule-account identification, risk scoring, automated lien calculations and the detection of layered transactions used to conceal fund movements.
Officials said online financial fraud and cybercheating investigations frequently involve rapid transfers across multiple accounts and institutions. These transactions can make it difficult for investigators to establish the sequence of transfers, identify the final beneficiaries and determine links between different complaints through manual scrutiny alone.
Another senior police officer said cyber fraudsters were increasingly using multiple mule accounts and rapid fund transfers to evade detection. The proposed platform, the officer said, would strengthen the police’s ability to analyse complex transactions and could support quicker detection and more effective investigations.
For residents reporting digital payment fraud or other forms of cyber-enabled financial crime, the system is intended to improve the speed at which complaints and transaction data are examined. Police officials also said it could enhance the chances of timely intervention and recovery of defrauded money, although the procurement process and implementation timeline have not been specified.
The commissionerate police have not disclosed the selected vendor, project cost or date by which the platform will become operational. The immediate next step is the procurement of the AI-powered financial investigation platform.
