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Infosys, Harness team up for AI delivery

Partnership targets post-coding gaps with faster, automated software deployment

Infosys has partnered with Harness to improve how enterprises build and deliver software using artificial intelligence. The collaboration focuses on fixing inefficiencies that arise after code is written, especially in testing, deployment and operations.

While AI tools have significantly accelerated coding, companies still face delays and risks in the later stages of software delivery. These include manual processes, security checks and performance monitoring, which often slow down releases. Infosys and Harness aim to close this gap by introducing AI-driven automation across the entire software lifecycle.

As part of the partnership, Infosys will integrate its AI-led platforms, including Topaz and its cloud capabilities, with Harness’ software delivery solutions. This will enable businesses to automate key processes such as continuous integration, testing, deployment and monitoring, making software releases faster and more reliable.

The companies said the collaboration will help reduce manual intervention, improve productivity and ensure better governance. This is particularly important as enterprises scale up AI adoption and need stronger control over how applications are deployed and managed.

Another key benefit is expected in cost and efficiency. By automating repetitive tasks, engineering teams can spend less time on maintenance and more time on innovation. This can lead to quicker product launches and improved customer experience.

The partnership is also aimed at supporting large digital transformation and modernisation programmes, especially in industries where reliability and compliance are critical. Faster deployment cycles combined with improved system stability are expected to be major outcomes.

Industry observers note that the move reflects a broader shift in the technology sector. Companies are no longer focusing only on AI-assisted coding but are increasingly looking at end-to-end AI-driven software delivery.

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