AI-ASSISTED LEGACY SOFTWARE MODERNIZATION
Keep the business logic.
Reimagine the application.
Turn the software your business depends on into a modern, maintainable application. AI accelerates the work; experienced engineers guide the architecture, review the code and validate the result.
Discuss your legacy application ↗Explore the services ↓AI-assisted development. Engineer-led decisions. Quality checked at every stage.
HOW IT CONNECTS
From existing code to a modern application.
- 01UnderstandMap business rules and dependencies.Explore this area ↗
- 02RebuildAI-assisted work, reviewed by engineers.Explore this area ↗
- 03ValidateTest behavior, security and usability.Explore this area ↗
- 04TransitionMigrate, release and support.Explore this area ↗
Discovery & assessment
Preserve what makes your software valuable.
Map your business rules, data and dependencies before changing the code. Compare targeted refactoring, phased replacement and a wider rebuild.
- Review code, integrations and operational constraints.
- Capture essential workflows with your users.
- Agree priorities, scope and acceptance criteria.
A modernization roadmap grounded in your business.
Start with a legacy code assessment ↗Architecture & experience
Design the application your business needs next.
Define a maintainable technical foundation and improve the everyday experience for the people using the software.
- Agree architecture, interfaces and deployment requirements.
- Simplify key journeys with accessible, responsive screens.
- Set measurable reliability and performance targets.
A clear design before implementation expands.
AI-assisted engineering
Accelerated by AI. Accountable to engineers.
AI assists with code analysis, translation, refactoring and test development. Experienced engineers own the architecture, review the code and decide which changes are accepted.
- Deliver in small, reviewable increments.
- Review generated code for correctness, security and maintainability.
- Agree approved AI tools and rules for source code, credentials and customer data.
Engineering oversight at every stage.
Testing & quality assurance
Prove the new application does the right work.
Validate essential behaviors and the improvements you have requested. Build evidence for release decisions through automated checks and hands-on review.
- Create regression tests for critical business rules and integrations.
- Review security, dependencies and performance.
- Run acceptance testing with the people who know the application best.
Quality checked against agreed business requirements.
Discuss your quality requirements ↗Migration & rollout
Move forward with a controlled transition.
Plan data migration and release around business continuity. Introduce changes in stages where practical, with clear checks and a recovery plan.
- Rehearse migration and reconcile records.
- Define monitoring, rollout and rollback criteria.
- Coordinate integration changes and user training.
Clear responsibilities and go-live checks.
Handover & support
Build something you can keep improving.
Leave your business with an application that can be understood, maintained and extended. Agree documentation, ownership and support as part of the delivery scope.
- Provide source code and technical documentation as agreed.
- Explain deployment and maintenance procedures.
- Plan support and improvements around real usage.
A clear path beyond launch.
LET’S DEFINE YOUR FIRST STEP
What is your legacy software holding back?
Tell us what your application does, the technology it uses and the changes you need. Start with a scoped assessment and a practical modernization plan.
Discuss your legacy application ↗