Rigid, monolithic legacy applications and complex data architectures often slow down an enterprise’s digital transformation journey. Hence, application modernization becomes a top priority. But modern architectures can be complex, with many moving parts and underlying technologies that need to be integrated. Further, enterprises also struggle with the breadth and depth of specialized skills needed at every stage of the lifecycle. As a result, there is a significant increase in the time and cost of digital transformation projects.
The Infosys Live Enterprise Application Development Platform, part of Infosys Cobalt, simplifies and accelerates the application modernization and development journey. It harnesses our experience of over 10,000 modernization programs for more than 600 clients to drive hyper-automation with built-in standards and best practices at every stage.
Up to 40% reduction in development and testing effort
Up to 25% faster time-to-value
Zero technical debt and adherence to best practices
Abstracts complexity of underlying technology
Data-driven insights for better release predictability
Infosys Live Enterprise Application Development Platform brings end-to-end automation to every stage of the application development and modernization journey.
The platform simplifies and accelerates end-to-end application development and modernization life cycle via AI-powered guided workflow to boost developer productivity across the complete technology stack (UI, business layer, data, cloud services, infrastructure, and so on) and all application lifecycle stages, including architecture, development, testing and deployment. It seamlessly integrates with various generative AI tools to bring best-of-breed automation to each developer’s fingertips.
It unlocks information from legacy systems, simplifies decision-making and reduces dependency on niche skills. Real-time visibility into all types of technical debt enables high code quality from day one. Data-driven manager dashboards provide various project health metrics that help identify focus areas to improve sprint velocity and release predictability.
Hyper-automated workflows reduce development and testing effort by up to 40% and enable up to 25% faster time to value.
Early insights into technical debt enable high code quality and adherence to best practices from day-one
The platform abstracts the complexity of underlying technology, reducing dependency on niche skills
Data-driven insights into the complete application lifecycle enable better release predictability