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LEGACY SYSTEM MODERNIZATION

Transform your software
for the future 

With AI-powered squads, we accelerate the modernization of your legacy systems. Ensure a scalable, future-ready product that delivers the best user experience and is prepared for new technologies.

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CASE • LEGACY SYSTEM MODERNIZATION

AI-Accelerated Legacy Modernization

We modernized the main ERP software of Spring Point, a U.S.-based electromechanical company.  Powered by Artificial Intelligence, we shortened the conversion timeline and enhanced the user experience. 

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When it’s time to modernize

Hard to integrate with new technologies

Integrating legacy systems with new digital solutions is complex and costly, requiring extensive adaptations to connect with modern infrastructures.

UX doesn’t meet current expectations

Beyond an outdated and rigid interface, the legacy system has confusing, unintuitive workflows that harm usability.

Security issues arise

The software no longer meets today’s cybersecurity standards, making it vulnerable to attacks and data breaches.

Technology prevents scaling

The legacy system becomes a barrier to growth, unable to support the current volume of data and users.

Modernization Stages

2 to 3 months

Product Ideation

The initial stage defines the business and process vision, analyzes the market, and maps AI opportunities for the business. This is where the approach, architecture, and initial estimates are set.

2-week Scrum Sprints

First Release

We aim to deliver the leanest possible first release, applying the Strangler pattern. This way, modernization results can be seen as quickly as possible.

Ongoing Kanban Flow

Continuous Evolution

Small releases gradually replace legacy system functions and start being used within the new software.

High productivity
powered by AI

We accelerate our development squads’ productivity with multiple AI agents embedded in our SDLC.

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55%
increase in code development productivity
90%
faster code rewriting
4x
faster automated test creation
AI Augmented

Mature practices enhanced by

We use Artificial Intelligence, but grounded in process maturity and information security.

SoftDesign invests heavily in research and development to apply AI’s potential across the Software Development Life Cycle (SDLC).

Our processes, already mature and well-structured, are now accelerated and augmented by AI agents and assistants at every stage to enhance our practices.

AI-Augmented Discovery

With Artificial Intelligence, we can prototype quickly – testing, eliminating, and selecting ideas within hours.

AI AGENTS: Prototyping • Data analysis • Low-code MVP • Backlog writing • Legacy code analysis

AI-Augmented Delivery

With AI assistants, we reduce development time while increasing quality through automated unit and service tests.

AI AGENTS: Coding • Code review • Refactoring • Unit testing • Service testing

Multidisciplinary
Squads

Product Strategy

We build prioritization strategies to maximize business value and meet product goals.

UI/UX Design

Our team has expertise in User Experience, User Interface, and Research, enabling us to design user-centered solutions with strong usability.

Technology

Specialists in architecture, infrastructure, and cloud create robust solutions and tackle even the most complex technology projects.

Agility

We ensure a transparent, adaptive process with frequent deliveries, boosting team speed every sprint. 

Product Strategy UI/UX Design Technology Agility

FAQ

Legacy software modernization is the process of updating outdated systems to modern technologies, architectures, and practices—ensuring they remain efficient, secure, and aligned with current business needs.

Legacy software modernization delivers benefits such as higher performance and stability, lower maintenance costs, stronger protection against vulnerabilities, easier integration with new technologies and APIs, and an improved user experience for both customers and internal teams.

Modernization can range from cloud migration to a complete system rewrite—always preserving essential features and historical data.  Main types of legacy software modernization include:   
  • Replatform: Migration to a new platform while maintaining the core structure. 
  • Refactor: Partial code rewrite to improve performance.  
  • Rearchitect: Redesigning architecture to support new features and scalability.  
  • Rebuild: Complete system reconstruction using modern technologies.

A legacy modernization project at SoftDesign follows these stages: 
  • Conception: Business and technical analysis, market research, and definition of strategy, technologies, and target architecture. 
  • First release (2-week sprints): Development of a lean version that delivers early value to the client. 
  • Continuous evolution: Features prioritized in modernization are developed and gradually replace the legacy system.

In legacy software modernization, the conception stage is crucial for building a solid transformation plan. This is when the ideal architecture is defined, technologies are chosen, timelines and costs are estimated, and the project is aligned with strategic business goals—reducing risks and increasing execution success.

SoftDesign approaches legacy modernization with a consultative and agile mindset. Our team conducts a detailed assessment, proposes the most suitable approach, and executes modernization with a focus on security, scalability, and business value. We apply agile methodologies and leverage Artificial Intelligence to accelerate steps and reduce costs. 

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