Infosys has announced a strategic collaboration with Harness to accelerate agentic AI-led software delivery transformation for enterprises worldwide. The partnership combines Infosys’ AI and cloud capabilities with Harness’ software delivery platform to help organizations improve productivity, governance, and time-to-market at scale.
The collaboration brings together Infosys Topaz Fabric a purpose-built agentic AI services suite and Infosys Cobalt cloud offerings with Harness’ delivery intelligence platform. This integration is designed to streamline the entire software delivery lifecycle, particularly addressing inefficiencies in downstream processes such as testing, deployment, security, and compliance.
As enterprises increasingly adopt AI for code generation, a growing challenge has emerged in ensuring that innovation can be safely and efficiently deployed into production. By applying AI across post-development stages, Infosys and Harness aim to standardize and automate workflows, reducing operational risks and eliminating fragmented manual processes.
The joint solution introduces context-aware intelligence into software delivery, enabling organizations to modernize legacy systems and manage complex, large-scale, and regulated environments more effectively. Harness’ platform provides real-world insights to ensure AI-driven processes remain governed, auditable, and secure especially when integrated with Infosys’ hybrid and multi-cloud infrastructure.
This partnership also addresses what industry leaders describe as the “AI Velocity Paradox,” where rapid development outpaces the ability to securely deploy and manage applications. By aligning AI innovation with robust delivery systems, the collaboration helps enterprises achieve faster, more predictable, and controlled software releases.
Ultimately, the Infosys-Harness alliance reflects a broader shift toward embedding AI across the entire software delivery lifecycle. By combining automation, governance, and scalability, the partnership enables organizations to transform AI-driven innovation into reliable, production-ready outcomes.
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