How the Income Tax Department Is Using AI to Track High-Value Transactions

The Indian Income Tax Department has significantly enhanced its surveillance capabilities, leveraging Artificial Intelligence (AI) and data analytics to monitor high-value financial transactions. This shift is part of a broader initiative to curb tax evasion and ensure that income disclosures match financial behaviour.

From large investments to property purchases and credit card spends, AI systems are now keeping a close watch. This transformation reflects the department’s focus on improving tax compliance through advanced technology, according to a report. 

What Is the Statement of Financial Transaction (SFT)?

Under current regulations, various financial institutions — including banks, mutual fund houses, and property registrars — are mandated to submit a Statement of Financial Transaction (SFT) to the Income Tax Department annually.

This report captures key high-value transactions, such as:

• Cash deposits or withdrawals above a threshold,

• Large investments in mutual funds or stocks,

• High-value credit card payments,

• Real estate purchases or sales.

AI for Pattern Detection and Risk-Based Assessments

AI tools are being deployed to compare an individual’s current and past ITRs. The system looks for significant variations in income declared, deductions claimed, and sources of income. If any abnormal patterns or discrepancies are detected, the case may be flagged for further scrutiny.

This data-driven approach allows the tax authorities to carry out risk-based assessments, making the process more efficient and transparent. It also minimises human bias, ensuring a more consistent approach to identifying potential tax evasion.

Faceless, Automated, and More Accurate Tax Scrutiny

The traditional face-to-face assessments are steadily being replaced by faceless evaluations, where the entire scrutiny is conducted online. AI plays a key role in:

• Selecting cases for assessment,

• Analysing taxpayer behaviour over time,

• Enhancing the fairness and accuracy of the process.

This move to faceless assessments, combined with AI’s analytical power, marks a substantial shift towards a more equitable and efficient tax environment.

The Digital Expansion: Social Media and Virtual Spaces Under Watch

The upcoming Income Tax Bill, expected to come into effect from 2026, will further expand the department’s digital reach. If tax evasion is suspected through online means, authorities may:

• Access emails, cloud storage, and digital wallets,

• Scrutinise social media activity,

• Review interactions on online trading or investment platforms.

As per Section 247 of the proposed legislation, even password-protected information could be examined if deemed necessary. The law also introduces the concept of “virtual digital space”, broadening the scope of permissible investigation.

Caution: The Key to Staying Compliant

With technology leading the charge, maintaining compliance is now more critical than ever. Taxpayers are expected to:

• Maintain accurate and transparent financial records,

• Be mindful of their digital footprint,

• Avoid discrepancies in declared income and actual expenses.

The tax ecosystem is now being described as predictive, preventive, and precision-based, meaning AI can anticipate, prevent, and pinpoint anomalies more effectively than ever before.

Conclusion

While this advancement signals a move towards a more efficient and fair tax system, it also places greater responsibility on taxpayers to remain vigilant. The fusion of AI and tax governance marks a new chapter — one where every digital move could be under the scanner.

Disclaimer: This blog has been written exclusively for educational purposes. The securities mentioned are only examples and not recommendations. This does not constitute a personal recommendation/investment advice. It does not aim to influence any individual or entity to make investment decisions. Recipients should conduct their own research and assessments to form an independent opinion about investment decisions. 

Investments in the securities market are subject to market risks, read all the related documents carefully before investing.