VIJAYAWADA: In a major validation of AP’s technology-led administrative reforms, the GST Council has commended the state’s Commercial Taxes Department for its pioneering integration of AI and advanced data analytics into GST administration.
The appreciation was extended during the 57th meeting of the GST Council held in New Delhi under the chairpersonship of Union Finance Minister Nirmala Sitharaman.
The Council formally recognised AP’s efforts in deploying AI tools to establish transparency, eliminate human subjectivity in selection, reinforce administrative accountability, and enhance revenue detection through risk-based enforcement mechanisms.
Aligning with Chief Minister N Chandrababu Naidu’s overarching vision of leveraging cutting-edge technology for data-driven, citizen-centric governance, the Commercial Taxes Department has embedded AI-enabled frameworks across core functions.
These include the scrutiny of returns under Section 61, audit procedures under Section 65, and inspection protocols under Section 67 of the GST Act. By integrating GSTN data, e-way bill records, and cross-verified third-party datasets, the AI risk-assessment engine selects high-risk cases strictly through objective parameters, replacing legacy manual methodologies.
The tangible efficacy of these technological interventions is reflected in the statutory performance metrics recorded during the first six months of implementation.
The AI risk engine selected 10,817 cases for scrutiny, yielding revenue anomaly detections worth Rs 743 crore—double the Rs 366 crore detected under conventional selection system. The average tax leakage detection per case witnessed an over eightfold increase, rising from Rs 3.08-27.63 lakh.
Addressing legal compliance, Chief Commissioner of State Tax Babu A highlighted that the system incorporates review protocols. High-risk cases are escalated to Joint Commissioners, Regional Internal Monitoring Committees (RIMC), or State Internal Monitoring Committees (SIMC). Beyond return scrutiny, the department has engineered an AI-powered ‘Legal Assistant’ trained on a comprehensive knowledge base comprising nearly 22,000 judicial pronouncements and the complete GST framework.
This legal tool manages an extensive litigation portfolio of 13,719 active cases, including 8,098 matters before First Appellate Authority, 577 appeals in the GST Appellate Tribunal (GSTAT), and 5,044 cases pending before the HC, enabling safe disposal without requiring an expansion in legal personnel.
Official delegations from Rajasthan and Chhattisgarh have visited AP to study the ground-level implementation of these risk-based scrutiny and litigation tools, while tax departments from Assam, Delhi, and Uttarakhand have formally expressed interest in replicating the state’s AI model.