Reply is ready to support its customers with the adoption of the most innovative AI-powered Software Development tools that are revolutionising the software industry.

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The AI application to the Software Development Life Cycle (SDLC) is evolving rapidly, leading to the deployment of new tools and a progressive evolution: from human operators to AI-powered tools.

The rule-based approach is being overtaken by machine learning; large amounts of data processing and many other tasks are already being delegated to AI. All phases of the Life Cycle are impacted, including those that, until recently, were impossible to process using automated techniques, such as design or deployment.

Based on the skills present within the AI tools, Reply is the ideal partner to support companies with the adoption of AI-powered tools, as Reply can assist them to achieve more effective software development and management processes.

From human operators to AI-powered tools

An overview on AI tools

Reply has set up an observatory on AI-powered Software Development Tools to follow the evolution and test the technologies and products that implement AI in the various stages of SDLC. Reply uses a four-phase cycle (Scouting, Analysis, Testing and Consolidation) in continuous iteration, to refine its expertise within the evolving sectors. This showed that there is a vast number of tools capable of disrupting the classic approach to each stage of the Software Life Cycle.


Reply’s approach to the adoption of
AI-powered software development tools

In order to guarantee maximum effectiveness and accuracy in evaluating and planning the adoption of an AI tool, Reply has developed a dedicated approach that focuses on the customers. Reply involves the customers in the selection process by sharing the knowledge acquired from the AI tools sector and explaining the practical evidence on the available solutions.

The base element of this approach is the development of an AI Lab: a cross-functional team of resources made up of Reply experts and customer representatives who, based on an iterative process of testing and validating the AI Tools on real customer use cases, work together to identify the solution that can best respond to the specific needs of the customers. Based on these lab outcomes Reply then launches pilot projects.

Reply’s expertise in Artificial Intelligence
& Machine Learning