India moving GST compliance toward AI-led enforcement and cross-agency data integration creates concrete engineering demands: auditable anomaly-detection models, privacy-preserving record linkage across GST, income tax, and customs datasets, and exception-handling pipelines for automated refunds. As the Goods and Services Tax marks its tenth year (July 1, 2017 launch), per PTI reporting in The Economic Times, authorities are integrating these databases to improve risk assessment and curb evasion while aiming to reduce compliance burdens on MSMEs. The registered taxpayer base has grown from 66.5 lakh at launch to roughly 1.6 crore in 2026. For data engineers and compliance teams, the shift signals sustained investment in explainability, cross-dataset governance, and high-recall fraud detection over the coming years.
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