Digitalization is not a new concept; Companies have been under pressure to modernize their operations for more than a decade. Organizations have already gone through several waves of technological transformations, such as the arrival of the internet, cloud storage, and the use of mobile devices. Now, AI emerges as the next step in that journey — but also as a challenge that redefines the rules of the game.

Our Operations Director BR, Rafael Dourado explains how AI has changed the scenario. “What arrived as a trend, has now become a matter of survival. The paradox is that, although it was developed to drive digital transformation, this technology has also cornered companies in a single direction: innovation,” says Dourado.

Urgency of AI

In the past, many organizations have embraced modernization cautiously, doing only the essentials to avoid obsolescence. Developing a website or migrating some files to the cloud were enough steps to meet the need to “be up to date”. However, the arrival of AI has put companies at a crossroads: those who do not adopt this technology risk disappearing from the market.

According to a Gartner study, 75% of global organizations plan or are already implementing AI solutions by 2025. In addition, by 2026, 85% of interactions between customers and businesses will be managed by AI. These numbers highlight the urgency of integrating technology, pressuring companies to modernize their processes in a robust and efficient way.

Legacy Systems and Modernization with AI

One of the biggest challenges of modernization is compatibility between AI and legacy systems, many of which still operate with low-quality or improperly stored data. This mismatch directly impacts the efficiency and outcomes of AI-based initiatives.

Legacy systems often lack adequate structures to handle, organize, and integrate data in a way that is useful for artificial intelligence. Data stored in a fragmented, duplicated, or non-standardized way makes it difficult to generate strategic insights. Data analytics, therefore, is the building block that ensures that the implementation of AI delivers tangible value to the business.

Accelerating modernization with AI

Despite the challenges, there is a solution: AI itself can speed up the modernization process. Our Customer Success Manager, Railson Fernandes explains that this technology is transforming the traditional approach to modernization.

Typically, a team would be dedicated for an extended period of time to analyzing the complexities of legacy systems, planning the migration, and ensuring that nothing gets lost in the process. But with AI, it is possible to accelerate all this. It helps you analyze the system, understand the layers of complexity, and even suggest migration solutions. And it does it intelligently, documenting every step.

AI not only simplifies technical processes, but also transforms functionalities, creating richer and more personalized experiences for users. “I think of modernization from two perspectives. Use AI to accelerate development, but also to bring innovation to my application. For example, I’ll understand my user’s profile and create more personalized

experiences. It is not only shortening the development cycle, but also adding value to the end user”, bets Railson.

End-to-end modernization

Artificial intelligence is revolutionizing end-to-end modernization. It accelerates processes, improves operational efficiency, introduces new functionalities, and transforms the customer experience. For businesses that want to stay competitive, adopting AI is not just a strategic choice, but an urgent need. Discover our App Modernization offering and transform your legacy systems into modern and efficient platforms. Contact us and find out how we can drive your company’s digital transformation.