Wipro Limited shares gained over 2% in early trade on March 18, 2026, after the company announced a strategic collaboration with Harness. The partnership is aimed at enabling global enterprises to accelerate AI-native software delivery with improved speed, reliability, and governance.
As of 9:20 AM (IST), Wipro stock touched an intraday high of ₹195.99 compared to the previous close of ₹191.32. The stock opened at ₹193.00 and traded in a range of ₹192.69–₹195.99, with a live volume of 15,95,824 shares. Despite the recent uptick, the stock remains below its 52-week high of ₹274.70, while staying close to its 52-week low of ₹188.25.
The collaboration comes at a time when enterprises are rapidly scaling AI adoption, leading to increased complexity in software delivery. Many organizations still rely on fragmented tools and manual workflows, which often result in inefficiencies and higher deployment risks. The Wipro–Harness partnership seeks to address these issues by bringing together advanced AI-driven platforms and automation capabilities.
At the center of this alliance is the integration of Wipro’s agent-native delivery platform, WEGA, with the Harness AI Software Delivery Platform. WEGA operates under Wipro Intelligence™, the company’s unified suite of AI-powered platforms and transformation solutions. This integration is expected to streamline software development processes and enable enterprises to transition toward more intelligent and automated delivery ecosystems.
Harness’ platform plays a key role by introducing automation and governance across post-code activities such as build, testing, deployment, release management, and incident response. It also provides continuous visibility into system performance, operational risks, and reliability metrics, allowing enterprises to make more informed, data-driven decisions.
Combined with Wipro’s consulting-led approach, global delivery expertise, and AI capabilities, the partnership offers a unified framework for managing modern software environments. This reduces manual intervention, enhances operational efficiency, and improves outcomes across deployment speed, system stability, and cost optimization.