AI-led tax analytics deal becomes company’s third-largest order in a year
LTIMindtree has secured a ₹3,000 crore ($332 million) contract from the Central Board of Direct Taxes to modernise India’s national tax analytics platform using artificial intelligence, the company said in a stock exchange filing on Friday.
The seven-year mandate involves building an AI-powered programme aimed at upgrading the government’s tax analytics and policy insight capabilities. LTIMindtree said the project reinforces its position in large-scale digital transformation programmes leveraging advanced data architecture and analytics to deliver real-time insights for policymakers.
At an estimated $47 million in annual revenue, the contract translates into roughly a 1% incremental contribution for LTIMindtree, which reported $4.93 billion in revenue in the last financial year, up 4.8% year-on-year. This makes the CBDT engagement the company’s third-largest deal in the past 12 months.
Second CBDT engagement in under a year
This is LTIMindtree’s second assignment from the CBDT in less than a year. In August 2025, the tax authority awarded the company a ₹792 crore contract to transform India’s PAN (Permanent Account Number) infrastructure, covering backend IT systems, security, automation and operations.
The latest win provides momentum for CEO Venu Lambu, who took charge in June 2025. Under his leadership, LTIMindtree has clinched multiple large deals, including its largest-ever contract with Paramount Global in October a $585 million IT modernisation programme over six years.
Large deals drive incremental growth
With the CBDT and Paramount deals, along with an earlier $450 million contract with ADM, LTIMindtree is now expected to see up to 3.3% incremental growth from these large wins alone. The company’s shares rose nearly 5% following the announcement.
The deal also reflects a broader trend of Indian IT services firms looking to drive growth from domestic government-led digital transformation projects, even as global demand remains uneven amid macroeconomic uncertainty and rapid AI-led disruption.
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