[Opinion] AI in Auditing – Transforming Statutory Audits
- Blog|News|Account & Audit|
- 2 Min Read
- By Taxmann
- |
- Last Updated on 13 May, 2025
Himesh D. Gajjar – [2025] 174 taxmann.com 375 (Article)
As the famous saying goes, “Change is the only constant.” Each profession undergoes changes, and remaining abreast of those changes is the only way to move forward. With Artificial Intelligence (AI) reshaping the landscape, it is imperative for Chartered Accountants to embrace and adapt to this new era of technology.
In this article, we will see how technology is shaping the future of Audit and how we as a Chartered Accountant can take maximum advantage of it. Statutory audits have long served as a cornerstone of corporate governance, ensuring transparency and accountability in financial reporting. As businesses increasingly adopt these technologies, the auditing profession also demands a significant transformation. The integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), blockchain, and data analytics is reshaping how statutory audits are conducted.
Technology’s integration into the auditing process is important for enhancing efficiency, ensuring accuracy, and promoting transparency, thereby bolstering the reliability and credibility of financial reporting.
A New Era of Technology
Statutory Audits serve as an independent assessment of financial statements, providing stakeholders with confidence in the organisation’s financial integrity. It involved extensive manual verification of financial documents, a process that was time-consuming and prone to human error. The reliance on periodic manual assessments often meant that discrepancies or fraudulent activities could go unnoticed for extended periods and might result in the material misstatement of the financial statements.
Now, the auditing profession in India is witnessing a significant transformation, moving away from traditional, often laborious, manual processes towards technology-driven methodologies and sheer volume and sophistication of financial data into this new age economy necessitates the use of advanced tools to enable auditors to analyze information effectively, identify potential risks, and automate routine tasks. This evolution is not merely about adopting new software; it represents a fundamental change in how audits are conceived and executed, driven by the need to keep pace with the rapid advancements in the digital world and the escalating demands of regulatory bodies and stakeholders for greater transparency and accountability.
Technology enables the automation of repetitive and time-consuming tasks such as data extraction, reconciliation, and report generation, allowing auditors to redirect their focus towards more strategic and analytical activities that require professional judgment. Furthermore, technology is playing a crucial role in improved risk assessment and fraud detection. Artificial intelligence (AI) and machine learning (ML) algorithms can analyse historical data and real-time transactions to identify potential risks and flag suspicious activities with greater precision and speed than manual reviews. Technology allows continuous auditing and real-time reporting. Given the increasing reliance on digital systems and the prevalence of cyber threats, the growing importance of cybersecurity in audits.
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