Legacy Assessment and Code Analysis
We use AI to understand and document legacy code, map dependencies and surface risks before any change.
AI-Driven Legacy Modernization Services
AI-Driven Legacy Modernization Services
Trusted across 20+ countries by Fortune 500 companies and growth-stage brands
We modernise ageing systems faster and with less risk, using AI to understand legacy code, re-architect it and migrate it to modern, cloud-ready platforms. Cut technical debt without stalling the business. Over a decade of experience, 250+ digital solutions delivered.
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What is AI-driven legacy modernization?
AI-driven legacy modernization is the use of AI to accelerate the upgrade of old software systems, including understanding undocumented code, mapping dependencies, re-architecting applications and migrating them to modern or cloud-native platforms. AI speeds up the slowest, riskiest parts of modernization, such as code comprehension and test generation. Noseberry combines this with engineering discipline so systems are modernised safely, without breaking what the business relies on.
Key takeaways
- AI-driven modernization uses AI to speed up understanding and migrating legacy systems.
- It targets the slowest steps, such as code comprehension, dependency mapping and testing.
- The goal is less technical debt and a modern, scalable platform, with minimal disruption.
- Modernization is phased so the business keeps running throughout.
2M+Lives touched
15+Fortune 500 clients
20+Countries served
250+Digital solutions delivered
What we do
Our AI-driven modernization services
Modernization Strategy and Roadmap
We recommend the right path per system, whether rehost, refactor, re-architect or rebuild.
AI-Assisted Code Migration
We use AI to accelerate translating and refactoring code to modern languages and frameworks.
Application Re-Architecture
We move monoliths toward modular, service-based and cloud-native architectures.
Legacy to Cloud Migration
We migrate legacy applications and data to AWS, Azure or Google Cloud, safely and in stages.
Automated Testing and Validation
We use AI to generate tests so modernised systems are validated against the original behaviour.
Data Migration and Integration
We migrate and reconcile legacy data, keeping integrity across old and new systems.
Why with AI
Why modernise with AI
AI reads and documents undocumented legacy code far faster than manual review.
It reduces the risk and cost of the discovery phase, where most projects stall.
Automated test generation protects against regressions during migration.
The result is a modern platform that is cheaper to run and ready for new AI capabilities.
How we work
Our five-phase process
We modernise in phases, validating each step against the original system, so there is no risky big-bang cutover.
1
Discovery and Audit
AI reads and documents the legacy code and maps dependencies.
2
Strategy and Roadmap
We choose the right path per system and sequence the work.
3
Rapid Proof of Concept
We prove the approach on a contained slice first.
4
Build and Integrate
We migrate and re-architect in phases, validating each step.
5
Deploy and Optimize
We cut over safely, then optimise cost and performance.
Technology we use
AI & code
- LLM-based code analysis
- Code generation
- Automated test tooling
Cloud
- AWS
- Azure
- Google Cloud
- Containers
- Kubernetes
Architecture
- Microservices
- APIs
- Event-driven design
Data
- Snowflake
- Databricks
- Migration & reconciliation tooling
Security and compliance
Modernised with validation at every phase
Modernization is handled with secure code handling, encrypted data migration, access controls and full audit trails, with validation at every phase. We build to GDPR, HIPAA and SOC 2, deployed on AWS, Google Cloud and Azure.
GDPRHIPAASOC 2
Real success storiesFinTech · Core platform PropTech · Legacy app E-Commerce · Monolith
Outcomes we have driven
Challenge
An ageing, fragile core system was costly to run and risky to change.
Solution
AI-led code analysis, phased re-architecture and a safe cloud migration.
Impact
93% of fraud caught pre-payout on the modernised platform, ~$4.2M saved annually.
Challenge
Undocumented legacy code blocked new features and valuations.
Solution
AI documented the code and we migrated it to a modular, cloud-native stack.
Impact
40% faster property valuations after modernization.
Challenge
A monolith couldn't scale with demand or support personalization.
Solution
Re-architecture to services with AI-generated regression tests.
Impact
+28% lift in conversion rate on the modern platform.
Sector-anonymised outcomes shown until named clients are approved.
Why Noseberry
Why choose Noseberry for legacy modernization
Specialist
AI, Cloud and Data is our core, no generalist dilution.
Low-risk
Phased modernization validated against the original system.
AI-accelerated
We cut the slowest discovery and testing work with AI.
Proven at scale
15+ Fortune 500 clients, 250+ solutions across 20+ countries.
Legacy modernization, answered.
It is upgrading old software systems to modern, maintainable and cloud-ready platforms, reducing technical debt while preserving the business logic that matters.
AI reads and documents legacy code, maps dependencies and generates tests, speeding up the slowest and riskiest parts of a modernization project.
We modernise in phases and validate each step against the original system, so the business keeps running throughout.
Not always. We recommend the right path per system, from rehosting to full re-architecture, based on your goals.
We migrate and reconcile it carefully, maintaining integrity across the old and new systems.
Held back by legacy systems?
Book your free 30-minute AI strategy session and we will map a modernization plan.
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