Migrating application platforms to modern architectures with AI and automation

Insurance company modernizes mobile platform and speeds up migration from low-code environment with support from artificial intelligence

An insurance company needed to migrate its mobile application platform from a discontinued low-code environment to a modern architecture, guaranteeing operational continuity, preserving existing business rules and significantly improving application performance and scalability.

The challenges: modernizing mobile applications while preserving critical business rules

The existing platform was based on discontinued low-code technology, which posed operational risks and limited the evolution of the organization's mobile applications.

Among the main challenges were

• Dependence on a discontinued technological platform;

• The need to preserve critical business rules during the migration;

• Ensuring operational continuity throughout the modernization process;

• Reducing the time needed to rebuild the application;

Improved performance and scalability of the new mobile architecture.

The organization needed to structure a modernization strategy capable of speeding up the migration without compromising the stability of the application.

Why Foursys?

Foursys was chosen for its ability to conduct structured application modernization initiatives with the strategic use of artificial intelligence for automated analysis and extraction of business rules.

Among the main differentials considered were:

• Experience in modernizing corporate mobile applications;

• Use of artificial intelligence applied to the analysis of legacy systems;

• Capacity for automated extraction of business rules;

• Expertise in migrating from low-code architectures to modern frameworks;

Experience in improving the performance and scalability of applications.

Success factors

The execution of the project was supported by a structured approach to accelerated modernization using automation and artificial intelligence applied to the interpretation of the legacy system.

Among the main success factors were:

• Structured migration from the Titanium platform to React Native;

• Use of artificial intelligence for automated extraction of business rules;

• Automation of the original application analysis process;

• Restructuring of the mobile architecture with a focus on performance and scalability;

Preservation of the existing functional logic during modernization.

The solution: accelerated modernization of the mobile platform with AI support

Foursys implemented a mobile platform modernization strategy based on migration to modern architecture and the application of artificial intelligence to accelerate application reconstruction.

The solution included

• Migration from the Titanium platform to React Native;

• Use of artificial intelligence and automation to extract existing business rules;

• Restructuring the application's architecture with a focus on performance gains;

• Updating the technological base to support continuous evolution of the application;

Preparing the platform for scalability and new cycles of digital innovation.

Results

The modernization of the application enabled significant gains in performance, technical efficiency and speed of execution of the migration:

• 100% automation in the extraction of business rules;

• 60% reduction in total migration time;

45% increase in the performance of the new application.