# FBR Deploys AI to Detect Discrepancies in Tax Returns Automated system flags tax errors, allowing taxpayers to rectify issues before legal action. - **Source:** [Dawn](https://www.dawn.com) - **Published:** 2026-11-12 - **Topic:** [Finance](https://brifing.si/c/finance) - **Original article:** - **On Brifing:** https://brifing.si/s/803c88bf-543e-420d-9a4e-55cde6d427cb ## AI-Driven Tax Scrutiny The Federal Board of Revenue has officially integrated artificial intelligence to analyze individual tax returns. This automated system identifies factual and legal discrepancies by cross-matching declared income against existing data. The initiative aims to streamline tax administration and minimize human error during the initial review process of submitted financial records. ## Regulatory Framework Update These procedures were formally introduced through SRO 2098 of 2026, which amends the Income Tax Rules 2002. Specifically, the new regulation adds section 38B, titled Procedure for electronic scrutiny and intimation of issues. This legal update provides the necessary mandate for the tax authority to utilize automated systems for compliance enforcement. ## Electronic Notification Process Taxpayers will receive electronic notifications via the IRIS platform if the system flags any inconsistencies in their filings. These advisories detail the specific factual or legal errors detected by the algorithm. This digital communication channel ensures that individuals are promptly informed of potential issues without requiring immediate physical interaction with officials. ## Mandatory Response Periods Upon receiving a notice, taxpayers are granted a minimum of seven days to provide an explanation or rectify the identified errors. If no response is received within this initial window, the system will automatically issue a formal reminder. This secondary notice provides at least seven additional days for the taxpayer to act. ## Remedial Action Opportunities The primary objective of this system is to allow taxpayers to correct mistakes before the initiation of formal legal or penalty proceedings. By providing a structured mechanism for clarification, the FBR seeks to resolve discrepancies amicably. This approach reduces the administrative burden on both the tax authorities and the individual taxpayers involved. ## Inland Revenue Officer Oversight All system-generated notices, taxpayer responses, and subsequent actions are tracked on a centralized dashboard. The Officer of Inland Revenue with jurisdiction over the taxpayer reviews these inputs to assess the situation. This human oversight ensures that the AI-driven findings are evaluated within the context of the Income Tax Ordinance 2001. ## Systematic Data Integration The automated system functions by cross-referencing information declared in tax returns with other available data sources held by the government. This comprehensive data matching capability allows for a more thorough verification of financial declarations. By centralizing this information, the FBR can identify patterns that might indicate non-compliance or reporting inaccuracies. ## Future Compliance Implications This shift toward automated scrutiny represents a significant modernization of the tax collection infrastructure. By prioritizing early detection and taxpayer self-correction, the FBR aims to enhance overall tax compliance rates. Future developments will likely depend on the accuracy of the AI models and the responsiveness of the public to these notices. ## Sources covering this story - https://www.dawn.com/news/2043897/fbr-deploys-ai-to-detect-discrepancies-in-tax-returns — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._