Tech Mahindra rises on launching AWS APT CoE to redefine AI-led business operations
Tech Mahindra is currently trading at Rs. 1601.30, up by 4.30 points or 0.27% from its previous closing of Rs. 1597.00 on the BSE.
The scrip opened at Rs. 1609.65 and has touched a high and low of Rs. 1622.25 and Rs. 1600.00 respectively. So far 20352 shares were traded on the counter.
The BSE group 'A' stock of face value Rs. 5 has touched a 52 week high of Rs. 1850.00 on 03-Feb-2026 and a 52 week low of Rs. 1304.25 on 09-Mar-2026.
Last one week high and low of the scrip stood at Rs. 1649.10 and Rs. 1592.35 respectively. The current market cap of the company is Rs. 156948.82 crore.
The promoters holding in the company stood at 34.97%, while Institutions and Non-Institutions held 55.74% and 9.30% respectively.
Tech Mahindra has launched its Amazon Web Services (AWS) Agentic Process Transformation (APT) Center of Excellence (CoE), a strategic initiative designed to accelerate enterprise adoption of Agentic AI through scalable, outcome-driven business transformation. The AWS APT CoE will deliver scalable AI solutions that drive measurable results for customers across industries.
The CoE combines Tech Mahindra BPS’ deep process expertise with AWS cloud and Agentic AI capabilities to help organizations move from AI experimentation to measurable business impact. Built as a scalable AI execution engine, the AWS APT CoE will allow enterprises to deploy industry-specific AI solutions that improve operational efficiency, reduce costs, enhance decision-making, and accelerate pilot-to-production cycles. The initiative reinforces Tech Mahindra’s collaboration with AWS while strengthening its ability to deliver governed, enterprise-scale AI transformation across industries including telecom, healthcare, banking and financial services, retail, and manufacturing.
The launch further strengthens Tech Mahindra BPS’ go-to-market strategy for AWS-powered AI services by expanding customer opportunities, enabling scalable delivery models, and accelerating AI engagements through industry-focused innovation and execution.
