AI-driven software delivery in Infosys and Harness collaboration

Infosys and Harness have entered a strategic partnership to integrate AI into software delivery, targeting improvements in development and deployment workflows.

Infosys has entered into a strategic partnership with Harness focused on enterprise software delivery. The collaboration brings together Infosys Topaz Fabric, Infosys Cobalt and the Harness Software Delivery Platform, with the aim of supporting productivity, AI governance and time-to-market.

Infosys Topaz Fabric is positioned as an agentic services suite, described as a multi-layer AI framework that integrates infrastructure, data, applications and workflows to support an agent-based ecosystem.

Engineering teams often spend a significant portion of time on downstream activities such as testing, deployment and optimisation.

These processes can involve manual and fragmented workflows, which may affect release timelines and operational risk. Infosys and Harness intend to address these challenges by standardising and automating workflows from code development through to production, applying AI across the software delivery lifecycle.

The collaboration introduces context-aware automation into software delivery and is intended to support large-scale modernisation and transformation programmes, particularly in complex and regulated environments.

Harness’s delivery intelligence is based on operational data, supporting the use of AI within governed and auditable frameworks. When combined with the cloud capabilities of Infosys Cobalt, these features are intended to support deployment across hybrid and multi-cloud environments.

The combined use of Infosys Topaz and Infosys Cobalt with the Harness platform is aimed at supporting more consistent and controlled software delivery processes, with an emphasis on governance, reliability and scalability.

The partnership reflects ongoing efforts to apply AI within enterprise software delivery, with a focus on integrating security, compliance and resilience into development and deployment processes across different environments.
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