Islamabad, October 31, 2025 – In a major breakthrough for Pakistan’s digital tax enforcement, the Federal Board of Revenue (FBR) has identified over 200 corporate cases through an Artificial Intelligence (AI)-driven audit selection system, marking a milestone in the country’s tax modernization drive. According to an official report, the initiative is part of FBR’s sweeping reform agenda led by the Transformation Delivery Unit (TDU) — established in October 2024 to drive innovation, transparency, and efficiency across the taxation ecosystem. AI-Driven Audit Revolutionizes Tax Monitoring The FBR confirmed that its newly deployed AI-powered audit tool for corporate sales and income tax has already flagged cases valued at PKR 13.3 billion, signaling a data-driven shift in how tax irregularities are detected and addressed. Officials said the system uses predictive analytics, machine learning models, and cross-database matching to automatically select high-risk corporate entities for audit — eliminating human bias and significantly reducing collusion risk. “The AI audit engine is enabling smarter, faster, and fairer detection of tax discrepancies,” an FBR spokesperson said, adding that the system is part of a broader digital enforcement framework designed to improve compliance and revenue integrity. Early Reforms Yield Tangible Results The FBR’s Transformation Delivery Unit (TDU) has already delivered impressive outcomes under its reform strategy:…