Legacy systems can be the biggest risk to your business. But they can also be the key to its growth. Fluentia Reforge offers a smart and efficient way to modernise critical applications with AI - in a controlled and cost-effective way. With Reforge, your systems will enter the era of AI and automation, opening up new opportunities for AI and data-driven business models.
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 Fluentia Reforge, we modernize your business-critical applications to meet today's requirements. Our AI-driven approach enables faster results, better quality and clearer predictability. With our Reforge modernization approach, we analyze, document and modernize your systems in phases without interrupting your business.
Traditional methods
Reforge AI approach
Cost-effectiveness
Less manual work, lower maintenance costs
Faster deployment
Systems ready to build new services and integrations
Data security and regulation
Modern platform meets today's requirements
Continuity
Critical processes are maintained, technology is modernized
Competitive advantage
Faster response to market changes and better customer experience
Reforge combines the modernization methodology developed by Fluentia, best practices and AI tools. The result is a controlled, phased and high-quality modernization 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.
✓ AI supports analysis, documentation, code understanding and modernization