Enterprise App Modernisation & Legacy Migration
Don't Let Legacy Tech Kill Your Velocity.
Legacy systems are more than just "old code", they are a security risk, a talent repellent, and a velocity anchor.
We don't just "lift and shift." We use
AI-Accelerated Engineering and forensic architectural patterns (like Strangler Fig) to transform your aging monoliths into secure, cloud-native assets. We reduce the cost of maintenance so you can reinvest in innovation.
What is App Modernisation
Developers have a natural tendency to want to rewrite legacy systems from scratch. But that means doing 80% of the work just to get back to where you started.
In this clip, Joe Cooney explains why true App Modernisation isn't about starting over; it's about evolving the "intricate business wisdom" already built into your code, saving you the massive upfront cost of a full rebuild.
The High Cost of Doing Nothing
"If it ain't broke, don't fix it" is a dangerous strategy in 2026.
Security Vulnerabilities
Old frameworks are prime targets for cyberattacks.
The "Talent Gap"
Top engineers won't work on 15-year-old spaghetti code.
Frozen Velocity
Every new feature breaks three old ones, making release cycles painfully slow.
Our Modernisation Strategies
The Strangler Fig Pattern
Risk-free migration.
We don't believe in "Big Bang" rewrites that fail. We use the Strangler Fig Pattern to peel off functionality piece-by-piece, rebuilding it as modern microservices while the old system keeps running. Zero downtime. Zero shock to your business operations.
AI-Accelerated Refactoring
Code at speed.
We use the latest Agentic AI tools to automate the tedious parts of migration, converting syntax, writing unit tests, and generating documentation. This improves velocity by 30-50% compared to manual rewrites, freeing our engineers to focus on architectural complexity.
Cloud-Native Re-Platforming
Scale and resilience.
We move you off expensive on-premise servers to sovereign cloud infrastructure (AWS/Azure). We implement Containerisation (Kubernetes) and Serverless architectures to make your app infinitely scalable, secure, and cost-efficient.
Your Path to Modernisation
A structured process with flexible execution.
1
The Forensic Audit
We start by scanning your repository to map dependencies, identify "Dead Code," and flag security vulnerabilities. We don't guess; we produce a forensic "State of Play" report that separates critical technical debt from functional code, ensuring we know exactly what needs fixing before we touch a single line of logic.
2
Strategy Selection
Based on the audit, we select the migration pattern that fits your risk appetite and timeline. We don't force a single method. For critical systems, we might use the
Strangler Pattern to peel off modules gradually. For urgent timelines, we might choose a
Vertical Slice to prove value fast, or a
Cloud Re-Platform to exit on-premise infrastructure quickly.
3
The Foundation Build (Sprint 0)
Before we migrate a single user, we build the "Landing Zone" in Sprint 0. We set up the Cloud Infrastructure and CI/CD pipelines to ensure automation from day one. Crucially, we generate synthetic
datasets, allowing us to test the new system rigorously without ever exposing your live production data to risk.
4
Execution & Cutover
Finally, we execute the selected strategy. Whether it’s a gradual rollout or a specific cutover window, we manage the traffic routing to ensure business continuity. We typically run the new system in parallel with the old one (Blue/Green deployment), verifying performance in production before fully decommissioning the legacy assets.
Modernisation in Action
From reporting platforms to portals, we deliver enterprise systems that serve hundreds of thousands of users securely at scale.
Microservices Re-architecture
We re-architected a microservices solution within a large enterprise program of work after the existing system failed to scale. Built on Kafka with bounded contexts and ACLs, the new architecture ingests telemetry from ~100,000 constantly streaming devices, delivering resilience and performance at scale.
Portal Modernisation
We engineered a major upgrade to a business-critical education application, migrating from an older .NET version to .NET 7 and shifting the UI from AngularJS to React. These changes halved CPU usage, enabled cross-platform capability, and roughly doubled development velocity through modern frameworks and hot-reloading.
App Re-platform
We delivered four apps across iOS and Android as part of a re-platform modernisation. The current team were upgrading from Xamarin to Maui with little success. Our recommendation was to rebuild using AI augmentation for React Native. This resulted in delivering the MVP for the apps in just two weeks.
Engineering Rigour
We don't trade quality for velocity. We use established frameworks to ensure our output is engineering-ready.
ISO 27001 Security
Why: Compliance.
How: We ensure the new system meets strict Sovereign security standards.
Synthetic Data
Why: Privacy.
How: We use AI to generate fake-but-realistic data for testing, so we never have to touch your real production PII.
DevSecOps
Why: Automation.
How: We build automated pipelines (CI/CD) so you can deploy changes in minutes, not days.
FAQs
Rewrite vs. Refactor: How do we choose?
We let the data decide. If the business logic is sound but the code is messy, we Refactor (clean it up). If the underlying technology is obsolete (e.g., Silverlight, Flash, Ancient PHP) and holding you back, we Rewrite (rebuild in modern tech). We provide a clear Cost-Benefit Analysis for both options during our Audit.
Will the system be down during migration?
Ideally, never. By using the Strangler Fig Pattern, we run the new system alongside the old one. Traffic is routed gradually to the new system. If something breaks, we can route traffic back instantly. This "Blue/Green" deployment strategy minimises risk.
Can you migrate our data?
Yes. Data migration is often the hardest part. We build automated ETL (Extract, Transform, Load) pipelines to move your data from legacy SQL/Mainframe systems to modern Cloud Data Warehouses, ensuring 100% integrity.
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