Xtrable
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Digital Transformation

Architecture-led digital transformation for organisations modernising legacy systems, adopting cloud platforms, and re-engineering business processes.

Digital transformation fails when it lacks architectural foundation. Organisations invest heavily in new platforms, cloud migration, and process automation only to discover that the underlying systems are too tangled, too poorly understood, or too fragile to transform safely. Xtrable brings architecture-first discipline to transformation programmes, ensuring that every change is planned against a clear model of the current state and a traceable path to the target state.

Transformation Without Understanding is Migration of Chaos

Moving systems to the cloud, adopting microservices, or automating processes without first understanding the current architecture simply relocates the problems. Model-first transformation starts with a thorough understanding of what exists.

Organisations that map their current state before designing the target state experience fewer failed migrations, fewer unexpected dependencies, and lower total transformation cost.

Every transformation engagement begins with current-state architecture modelling before any target-state design.

Transformation Services

Legacy Modernisation

Migrating from mainframes, monoliths, and legacy platforms to modern architectures. Current-state mapping, strangler fig patterns, phased migration planning, and risk mitigation.

Cloud Adoption

Cloud migration strategy, landing zone architecture, hybrid cloud design, and cloud-native re-architecture. Multi-cloud strategies for organisations that need flexibility.

API and Integration Transformation

Exposing legacy capabilities through modern APIs. API gateway architecture, event-driven integration, and the systematic decoupling of tightly-bound systems.

Data Platform Modernisation

Migrating from legacy data warehouses and file-based reporting to modern data platforms. Data lake architecture, real-time analytics, and data governance for the new platform.

AI Integration

Integrating AI and machine learning capabilities into existing business processes. Architecture for model serving, feature stores, and responsible AI governance.

Organisational Transformation

Aligning team structures and engineering practices with the target architecture. DevOps adoption, platform engineering, and the cultural changes that make transformation stick.

Our Transformation Approach

  1. Map the Current State. We build a connected architecture model of your existing systems using NeoArc Studio. This maps services, dependencies, data flows, and integration points into an explorable model that everyone can understand.
  2. Define the Target Architecture. We design the target state collaboratively with your teams, documenting every architectural decision with explicit trade-offs. The target architecture is linked to the current state, making migration paths visible.
  3. Plan the Migration. We decompose the transformation into phased, deliverable increments. Each phase delivers business value while moving towards the target architecture. Dependency analysis ensures phases are sequenced correctly.
  4. Execute with Architecture Oversight. We provide architecture governance throughout execution. Design reviews, integration testing strategy, and continuous validation that the built system matches the designed system.
  5. Measure and Adapt. We track transformation progress against the architecture model, identifying drift early and adjusting the plan as the organisation learns. The model evolves with the programme.

Transformation Patterns We Use

Strangler fig migration

Gradually replacing legacy functionality by routing requests to new services while the old system remains operational. Minimises risk and allows incremental validation.

Domain-driven decomposition

Using bounded contexts and domain modelling to identify natural service boundaries. Ensures that microservices align with business capabilities, not technical layers.

Event-driven decoupling

Introducing event buses and message brokers to decouple tightly-bound systems. Enables independent deployment and scaling while maintaining data consistency.

Parallel running

Running old and new systems simultaneously with output comparison. Provides confidence that the new system produces correct results before decommissioning the old.

Platform-first adoption

Building an internal developer platform before migrating applications. Ensures that teams have the infrastructure, CI/CD, and observability they need before they start moving.

Before you start moving

The most valuable investment in any transformation programme is understanding what you have before you design what comes next. We can help you map the current state, identify the dependencies, and build a phased plan that delivers value at each stage.