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Build and modernize AI apps

Accelerate your transformation to intelligent apps with CloudEvolv and Microsoft

Apps and data are both the business-critical, digital front for many businesses, and what powers so much of our businesses. In many ways, almost every company is a software company. And now almost every company will be an AI company, too. Understanding where to focus is job number one. It’s important to assess and prioritize use cases.

Whether through the creation of unique chatbot experiences that help customers find information they need, identifying and summarizing key data to help employees be more productive, or analyzing large quantities of data to isolate potential risks, intelligent apps help companies create value and gain competitive advantage.

Accelerate developer productivity

Empower developers to perform their best with AI-assisted tools

In the era of AI, software development is changing. Developers have been found to complete tasks up to twice as fast and write quality code much faster. It is leading to increased developer happiness, fulfillment and state of flow - and is seeing rapid adoption by developers and businesses because of those benefits, which will lead to companies to better business results, including their profitability.

It’s no longer about focusing solely on developer activity; it’s now about optimizing the entire developer experience. AI helps developers at every stage of the software development life cycle, all the way from ideation and problem solving, to learning new languages and writing documentation. It does far more than just autocomplete lines of code, although that can feel like magic in its own right too.

Modernize at scale with AI and Microsoft Power Platform

As organizations rethink their applications to meet the demands of today’s digital world, older applications can hold businesses back and make them less competitive. Some apps may not have much use any longer. Others are prone to security risks. And in some cases, you may have data locked in a system with an outdated tech stack that is costly to maintain.

Additionally, the generative AI shift adds new demands to already immense modernization needs. As businesses address each item in the backlog through only traditional development with diverse tech stacks, it will lead to growing technical debt.