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AI-based modernization of legacy systems

Fluentia Renew: The smart way to upgrade your legacy system for today's requirements

Modernize your outdated systems and ensure an AI-native future for your business

When old technology slows development, increases maintenance costs or creates business risks, Renew helps you modernize critical systems in a controlled and step-by-step manner. AI speeds up analysis, documentation and modernization work and reduces the amount of manual work. The service helps your systems transition to the era of AI and automation, opening up new opportunities for developing AI and data-driven business models.

The Renew service is the answer to modernizing applications that are at the end of their life cycle

With technology lagging behind and your system:

  • Is based on outdated technology (e.g. Cobol, RPG, VB.NET, PHP)
  • Is poorly documented and difficult to maintain
  • Contains complex business rules that are slow to understand manually
  • Is no longer adaptable to new business needs, interfaces, cloud architecture or integrations

When you want to invest in the continuity and growth of your business and your goal is:

  • Extend the life cycle of critical systems with modern technology
  • Reduce dependence on scarce skills
  • Accelerate the development of new digital services
  • Manage risks and costs with a phased, data-driven approach

What does AI-based modernization enable?

Old legacy systems are holding back business development. They are expensive to maintain and depend on a dwindling pool of skills. In addition, integrating new digital services with legacy systems is difficult and slow. More agile platforms are also needed for regulation, security and a smooth customer experience.

Upgrading legacy systems not only eliminates technical debt, but is a step towards smarter business. By bringing applications to an AI-native level, AI agents, automated decision making and data management can be added. This makes modernization a strategic enabler, paving the way for new services, business models and more agile innovation.

With our Renew service, we modernize your business-critical applications to meet today’s demands. Our AI-powered approach enables faster results, better quality, and greater predictability. With our Renew modernization method, we analyze, document, and renew your system in stages without interrupting your business.

Differences between traditional and AI-enhanced methods

Traditional methods

  • Long projects, big risks and massive costs
  • A lot of manual work: code review, documentation and rewriting
  • The slow road to production

Renew AI approach

  • Machine-assisted analysis and code understanding → faster and more accurate baseline mapping
  • Intelligent automation in refactoring and documentation → fewer errors
  • Iterative modernization → the business stays up and running without interruption throughout the project

Where does AI enhance modernization?

  • analysing existing code and dependencies
  • producing missing documentation
  • identifying business rules
  • supporting code changes and refactoring
  • streamlining testing and quality assurance.

Modernization is an investment in the continuity and growth of your business

Business benefits you get from the Renew modernization model

Cost-effectiveness

Less manual work, lower maintenance costs

More manageable modernization

A phased approach makes it easier to manage costs, risks and the progress of the work.

Better security and maintainability

Up-to-date technology reduces the risks of outdated software versions and makes the system easier to maintain.

Easier further development

A modern technology foundation makes it easier to build new features, integrations and AI solutions.

A controlled and repeatable modernization process

Renew combines the modernization method developed by Fluentia with best practices and artificial intelligence tools. The result is a controlled, step-by-step, high-quality renewal project without unexpected risks.

Modernization method

  • A clear, step-by-step process that guides the project from documentation to implementation and maintenance.
  • Enables repeatable and controlled progression across technologies.

Best practices

  • Lessons learned from modernization projects: what to do and what to avoid.
  • Structures and policies to minimize risks and ensure quality.

Artificial intelligence tools

  • A combination of tools we have developed and carefully selected generic AI tools.
  • Our experts guide the use of these tools as part of a controlled modernization process.

Our modernization projects

Non-life insurance company: Document generation system modernization

We modernized a non-life insurance company's system that processes large volumes of documents from RPG technology into a Python-based solution. The renewal secured the continuity of a business-critical system and created a modern, more maintainable technical foundation for it.

Pension insurance company: Payment system modernization

We modernized a pension insurance company's Cobol-based payment processing system to Java technology for the agreed parts. The technology renewal reduced dependence on aging technology and improved the maintainability and further development potential of a business-critical system.

Asset management company: Legacy system to modern .NET architecture

We renewed an asset management company's old VB.NET system to a modern .NET architecture. The modernization clarified the system's technical structure and created a more stable foundation for maintenance, development, and future business needs.

Media company: From a PHP solution to Python and React technologies

For a media-sector client, we delivered a technology renewal in which a PHP-based system was modernized into a solution using Python and React. The new technology stack improved the system's developability and created a modern foundation for the continuous renewal of digital services.

Want to hear more?

Get in touch and we'll tell you how we can help your organisation.