Most organizations do not struggle because they lack applications. They struggle because they have too many, too old, too complex or too expensive to evolve.
Our approach starts somewhere different: requirements.
We work across the full modernization estate: the applications themselves, the integrations that connect them, the cloud platforms they run on, the low-code layers that accelerate delivery, and the quality engineering that proves it all works. And where a legacy system has become its own only documentation, we apply AMA, our AI-driven modernization approach, to rebuild from validated requirements rather than converted code.
Five areas of expertise that work together, or independently, depending on where the estate needs to move first.
Legacy applications rebuilt as modern, maintainable systems — simplified, documented and ready to evolve.
We assess the portfolio, decide what to retain, consolidate, replace or retire, and modernise from validated business behaviour instead of converted code.
The connective layer between applications, partners and channels, designed as a governed product rather than point-to-point plumbing.
We design and build API-led and event-driven integration on platforms such as MuleSoft, replacing batch interfaces and brittle middleware with reusable, observable services.
Modern applications need a platform that matches them — scalable, automated and cost-aware from day one.
We design landing zones, containerised workloads and CI/CD pipelines, and migrate applications to cloud with infrastructure as code, observability and FinOps controls built in.
Where speed matters more than bespoke engineering, low code delivers working software in weeks.
We use low-code platforms to build front ends, workflows and departmental applications quickly, governed by the same architecture and security standards as the rest of the estate.
Quality proven continuously and automatically, not sampled manually at the end of a release.
We build automated test suites, use AI to generate and maintain test cases from requirements, and run legacy and modern systems in parallel to compare outputs before cutover.
We help organisations reduce duplication, consolidate functionality and simplify application landscapes.
AI-assisted engineering and automated testing accelerate development cycles and reduce manual effort.
Modernisation starts from business behaviour and validated requirements, not from legacy code conversion.
Parallel execution, automated tests and output comparison help prove functional accuracy before full transition.
When requirements become the strategic asset, applications become easier to evolve.
AI driven Application Modernization Approach
AMA is Linkroad’s structured approach to modernising legacy portfolios through enterprise architecture, requirements engineering, AI-assisted development and automated validation.
It is designed to help organisations simplify applications, reduce technical debt and create modern systems that are easier to maintain, evolve and scale.
Seven capabilities, applied in sequence or on their own, depending on where the portfolio needs to move first.
We help organizations identify which applications should be retained, modernized, consolidated, replaced or retired.
This creates a clear modernization roadmap based on business value, technical risk, architectural complexity and operational impact.
AMA analyses user sessions, documentation and legacy source code to reconstruct the real behaviour of an existing application.
This turns hidden business logic into explicit, usable and validated requirements before development begins.
AI interacts with the legacy system to confirm that each requirement reflects the current behaviour of the application.
This helps reduce ambiguity and creates a stronger foundation for modernisation.
Validated requirements are used to generate modern architecture, application code and automated test suites.
This makes development cleaner, more controlled and less dependent on legacy implementation details.
The new application runs side by side with the legacy system while outputs are automatically compared.
This gives teams a safer way to prove functional equivalence before replacing or scaling the new system.
Future changes can be managed by updating requirements and regenerating code while keeping the architecture clean.
This changes the maintenance model from reactive code modification to structured requirement-driven evolution.
AMA does not only modernise technology. It helps rethink how applications should operate in an AI-enabled environment.
New applications can be designed to support AI agents, automate high-volume operational workflows and escalate only complex exceptions to human teams.
Five steps that turn an existing application into validated requirements, and those requirements into a modern system you can prove.
AMA analyses user sessions, documentation and legacy source code to reconstruct how the application really works.
AI interacts with the legacy system to confirm that each requirement accurately reflects current behaviour.
Validated requirements are used to generate modern architecture, application code and automated test suites.
The new system runs side by side with the legacy application. Outputs are compared automatically to validate functional equivalence.
Future evolution happens by updating requirements, allowing AI-assisted regeneration while keeping the architecture clean.
From legacy behaviour → to validated requirements → to a modern application.
Modernisation should not replicate legacy complexity in a new technology stack. It should create applications that are leaner, easier to evolve and ready for the next generation of AI-enabled operations.
