CAG Uses AI Audits to Detect Fraud in State Schemes

AI Audits

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  • The Comptroller and Auditor General (CAG) of India, K Sanjay Murthy, revealed that AI and ML-based forensic audits have exposed numerous fraudulent cases in state beneficiary schemes. 
  • Speaking at the second State Finance Secretaries Conference, he said these audits can prevent misuse of funds and save significant financial resources for state governments.

CAG Pushes AI-Driven Forensic Audits and Digital Governance

  • The CAG of India emphasised the growing role of artificial intelligence (AI) and machine learning (ML) in detecting fraud during audits of state beneficiary schemes. 
  • Digitisation of audit processes is now the CAG’s top priority to enable remote audits, reduce hassles for executives, ensure timely reporting, and expand coverage — including 100% checks of GST and Income Tax databases.

Use of AI/ML in Fraud Detection

  • AI/ML-based forensic audits have already exposed numerous fraudulent cases across states. 
  • These tools could save states significant financial resources currently being siphoned off through fraudulent practices. 
  • A key application of remote audits will also include identifying tampering of electronic documents.

Digitisation of Financial Management Systems

  • There have been progresses by states in adopting digital tools for public financial management. 
  • Key systems include: 
    • the Integrated Financial Management Information System (IFMIS), 
      • IFMIS is a digital, web-based platform used by government entities to automate and integrate various financial functions like budgeting, accounting, payments, and reporting. 
    • Works and Accounts Management Information System (WAMIS), 
      • WAMIS is a comprehensive digital system for managing construction projects, covering their entire life cycle from inception to completion. 
      • Developed by C-DAC, it tracks and monitors financial transactions, links them to physical progress, etc.
    • Government e-Procurement Platform (GePNIC), 
      • GePNIC is a software system developed by India's National Informatics Centre (NIC) for conducting all stages of the government procurement process for goods, services, and works.
    • e-voucher systems, and 
    • The Digital India Land Records Modernisation Programme (DILRMP). 
      • DILRMP is a Central Sector Scheme launched by the GoI to computerize, digitize, and modernize all land records and registration processes across the country
  • However, the maturity level of these applications varies significantly across states, though digitisation has already improved the finalisation of Monthly Civil Accounts.

Remote Audits Across Departments

  • The CAG has successfully conducted remote audits in areas such as GST, stamp and registration, e-procurement, works, and Direct Benefit Transfer (DBT) schemes. 
  • The next goal is to extend remote auditing to all government departments with digitised records.

Auditing Local Governments

  • There is need to audit Urban Local Bodies (ULBs) and Panchayati Raj Institutions (PRIs), as nearly 15 cities contribute more than 50% of India’s GDP. 
  • Cities like Mumbai, Delhi, Bengaluru, Chennai, and Hyderabad alone account for 30% of GDP and could add 1.5% to annual growth if efficiencies improve.

Conclusion

  • Initiatives such as SNA SPARSH will strengthen cash management, while schemes like Special Assistance to States for Capital Investment will help states build IT-driven financial infrastructure.
    • SNA SPARSH is a cash management system and a Single Nodal Account (SNA) initiative for India's Centrally Sponsored Schemes (CSS) that facilitates a "just-in-time" release of funds from central and state consolidated funds. 
    • It integrates the Public Financial Management System (PFMS), the State Integrated Financial Management System, and the e-Kuber platform of the RBI to achieve better transparency, efficiency, and accountability in fund flow.
  • It is therefore imperative for states to continuously adopt and integrate advanced digital tools, including artificial intelligence (AI) and machine learning (ML), into their public financial management frameworks. 
  • Such integration will not only enhance transparency and accountability but also significantly improve efficiency in governance, thereby ensuring more effective utilisation of public resources and long-term fiscal sustainability.

Source: IE | ToI | OB

AI Audits FAQs

Q1: What did the CAG reveal about AI audits in state schemes?

Ans: CAG stated that AI and ML-based audits detected large-scale fraud, helping save state resources and improving governance transparency and accountability.

Q2: What is the main focus of CAG’s digitisation efforts?

Ans: CAG prioritises digitisation to enable remote audits, reduce executive hassles, ensure timely reporting, and achieve 100% checks of GST and Income Tax databases.

Q3: Which digital tools support financial management in states?

Ans: States use IFMIS, WAMIS, GePNIC, e-voucher systems, and DILRMP to improve transparency, accountability, and efficiency in financial operations and governance.

Q4: Where has the CAG successfully conducted remote audits so far?

Ans: Remote audits were conducted for GST, stamp and registration, e-procurement, works, and Direct Benefit Transfer (DBT) schemes, with plans to expand to all departments.

Q5: Why is auditing local governments considered important by the CAG?

Ans: Nearly 15 cities generate over 50% of India’s GDP. Stronger audits can boost efficiency, contributing an additional 1.5% to annual national economic growth.

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