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
Agentic AI Workflows to transform your aging monoliths. We architect for a
Cloud Smart reality, giving you the flexibility to repatriate workloads, ensure
sovereignty, and turn legacy debt into secure, high-performance assets.
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 Engineering
Code at speed.
We adapt our workflow to your risk profile. We use AI Augmentation to accelerate human-verified code for critical systems, and Agentic Swarms to autonomously refactor or build at massive scale. Whether you need a pilot for precision or a swarm for speed, we deliver the right architecture, faster.
Cloud Smart Re-Architecture
Scale and resilience.
We move you off expensive on-premise servers or expensive public clouds, depending on your needs. We implement Containerisation (Kubernetes) to make your app infrastructure-agnostic, so you can deploy to AWS today and repatriate to a Sovereign Private Cloud tomorrow without changing a line of code.
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
Should we Refactor the old code or just Rewrite it?
In the era of AI, "Rewrite" is often the safer, cheaper option.
The Old Logic: Rewriting was dangerous because it took too long, and you risked losing business logic. Refactoring was the only safe path.
The New Reality: Agentic AI has crashed the cost of writing code. We can now deploy agents to "read" your legacy logic and Rewrite it entirely in a modern stack (e.g., transforming legacy .NET to modern Cloud-Native C# or Rust) faster than a human could untangle the old spaghetti.
The Benefit: You don't just get "cleaner" legacy code; you get a fresh start. You eliminate decades of technical debt overnight and move to a sovereign, modern platform without the multi-year "Big Bang" risk.
How do I decide between AI Augmentation and Agentic AI for my project?
It comes down to Risk vs. Velocity.
Choose AI Augmentation for complex, core business logic. Here, a senior human engineer uses AI tools to accelerate their work while maintaining 100% oversight on every line of code.
Choose Agentic AI (The Swarm Model) for high-volume, repetitive tasks like migrating syntax, generating unit tests, or building isolated internal tools. In this mode, AI agents autonomously plan and execute tasks under human supervision, delivering extreme speed (up to 60x).
If you use Agentic AI to build this, will my internal support team be able to maintain it?
Yes. In fact, it is often cleaner than human legacy code.
Textbook Consistency: Agents don't take shortcuts. They strictly adhere to your internal coding standards, producing uniform, predictable code.
Hyper-Documentation: Agents don't just code; they document. Expect comprehensive specs and inline comments that make handovers seamless.
Zero Lock-In: We deliver standard, open repositories (not "black boxes") that your team can read, own, and extend immediately using their existing tools.
"Cloud First" was the standard. Why are you recommending "Cloud Smart"?
It comes down to Economics and Sovereignty.
The Economics: For predictable, high-volume workloads, the Public Cloud is often the most expensive option. We help you identify "Cloud Tax"; bloated egress fees and always-on comput and repatriate those workloads to private infrastructure or bare metal where they cost a fraction to run.
The Strategy: "Cloud Smart" means being infrastructure-agnostic. We containerise your applications so you can deploy to AWS for scale today, but move to a Sovereign Private Cloud tomorrow without rewriting code. You own the architecture, not the vendor.
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.
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.
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