TCS, Infosys and Wipro deploy Microsoft Copilot to more than 300,000 employees

India’s three largest IT services companies—Tata Consultancy Services (TCS), Infosys, and Wipro—have rolled out Microsoft 365 Copilot to over 300,000 employees combined, according to a milestone announced by Microsoft on June 3. The deployment, described as one of the largest enterprise AI integrations worldwide, follows initial commitments in December to equip around 50,000 employees each with Copilot licenses. Infosys has surpassed 100,000 active Copilot users, with 91% of licensed employees using the tool monthly. The company has embedded AI into workflows across business functions, automating routine tasks and boosting productivity. TCS reported 86% active usage among licensed employees, with teams achieving 20-25% productivity gains in research and content-related tasks, alongside a 25-35% reduction in work-cycle times for selected processes. Wipro demonstrated the highest engagement, with over 95% of licensed employees using Copilot monthly. The firm recorded 7.5 million AI prompts generated each month, saving over 250,000 full-time-equivalent workdays per quarter. Employees have also developed 29,000 internal AI agents and over 60 enterprise-grade AI solutions, indicating deep integration into daily operations. Microsoft framed the adoption as part of its ‘Frontier Firms’ concept, where companies redesign work around human-AI collaboration rather than treating AI as an add-on. Puneet Chandok, President of Microsoft India and South Asia, stated that TCS, Infosys, and Wipro are positioning Copilot as central to employee workflows, shifting from AI experimentation to operational reliance. The move reflects India’s IT sector’s growing role as a global leader in workplace AI adoption. These firms serve clients across banking, healthcare, retail, manufacturing, and technology, leveraging AI to enhance decision-making, customer engagement, and efficiency. Microsoft argues that effective AI integration unlocks new business opportunities while optimizing existing processes.