Legacy & AI Integration

The Application Modernisation and Migration offering helps organisations evolve legacy applications to modern, scalable technology stacks. We assess applications, either in full or in part, to determine the most appropriate modernisation approach, whether that involves data migration, service-layer refactoring, or a full application rewrite.

Rather than taking a disruptive “big bang” approach, we focus on iterative modernisation, enabling organisations to realise value early while reducing delivery and operational risk.

Legacy applications often limit agility, scalability, and integration. Modernisation unlocks these constraints while preserving critical business knowledge embedded in existing systems.

Key benefits include:

• Reduced technical debt and improved maintainability
• Improved scalability and performance through modern architectures and data platforms
• Greater flexibility to introduce new capabilities and integrations
• Lower risk modernisation through incremental delivery
• Preservation of business logic while evolving underlying technology

This approach enables organisations to modernise at a pace aligned to business priorities and operational constraints.

Depending on the application and objectives, modernisation may include:

• Data-first migration
  Migrating data from legacy platforms to modern data technologies (e.g. MongoDB or cloud-native data stores), while maintaining or gradually evolving application behaviour.
• Service-layer refactoring
  Introducing a modern services layer that exposes business behaviour via APIs, allowing legacy applications to be progressively decoupled.
• Application refactoring or rewrite
  Refactoring or fully rewriting applications onto a new technology stack where appropriate.

Iterative, Domain-Driven Approach

For large monolithic applications, we apply Domain-Driven Design (DDD) techniques to guide modernisation:

• Analyse the legacy application to identify sub-domains and bounded contexts
• Decompose the monolith into well-defined components
• Introduce independent services and data stores aligned to business capabilities
• Gradually retire or replace legacy components as modern equivalents are introduced

This allows complex systems to be modernised in manageable, business-aligned increments.