Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO), a leading AI-powered technology services and consulting company, has announced a strategic collaboration with Harness, the AI Software Delivery Platform™ company. The partnership aims to help global enterprises accelerate AI-native software delivery with improved speed, reliability, and governance.
As organizations rapidly scale AI adoption, software delivery processes have become more complex. Many enterprises continue to rely on fragmented tools and manual workflows, creating inefficiencies and increasing deployment risks. This collaboration between Wipro and Harness is designed to address these challenges by integrating advanced AI-driven platforms and automation capabilities.
At the core of the partnership is the integration of Wipro’s agent-native delivery platform, WEGA, with the Harness AI Software Delivery Platform. WEGA is part of Wipro Intelligence™, a unified suite of AI-powered platforms, solutions, and transformation offerings. By combining these capabilities, the two companies aim to streamline and modernize software development processes across enterprises.
The Harness platform enables organizations to bring intelligence, automation, and governance to post-code activities such as build, testing, deployment, release management, feature management, cloud cost optimization, and incident response. It also offers continuous visibility into system performance, operational risks, and reliability metrics, helping enterprises make data-driven decisions.
When integrated with Wipro’s consulting-led approach, global delivery expertise, and AI capabilities, enterprises gain a unified and intelligent framework to manage modern software environments. This reduces manual intervention, enhances operational efficiency, and improves outcomes across deployment speed, system stability, and cost management.
The partnership is expected to provide enterprises with a strong foundation to scale AI-native software delivery confidently while accelerating innovation and minimizing risks associated with complex deployment ecosystems.