AI-Led Legacy Modernization Services
AI agents now handle the tedious, repetitive tasks in modernising software; they review old code, upgrade frameworks, fix build problems, and get apps ready for the cloud. Our engineers approve every change, so you get speed without losing control over quality.
What is AI-Led Legacy Modernisation?
Every business eventually reaches a critical juncture where yesterday’s technology becomes tomorrow’s bottleneck. PSSPL meets you there, helping you automate, accelerate, and de-risk the modernisation of enterprise software and infrastructure.
Managing and modernising legacy systems that lack documentation, system component diagrams, and skilled technical resources is a challenging task. PSSPL helps you break this cycle with intelligent AI-led legacy application modernisation.
The Real Cost of Legacy Systems
The main reasons your business is lagging in digital transformation are rising expenses, a shrinking talent pool, security risks, and a lack of flexibility.
Up to 70% of the IT Budget Goes Towards Just Keeping Old Systems Alive
Most of the companies have to spend the bulk of their IT budget just to maintain old software – paying for licenses, dealing with outdated infrastructure, and fixing complicated issues. In the end, they are left with very little money for actual innovation or new projects.
Critical Knowledge Is Stuck in the Heads of Just a Few People
The main problem with legacy systems is that they depend on processes that were never properly documented; the knowledge stays limited to only a handful of subject matter experts. When these experienced employees leave or retire, the company is left stuck, without anyone who actually knows how the system works.
Aging Infrastructure Creates Bigger Security Risks
Our Strategic Transformation Approach
Business-Aligned Modernisation
Figuring out the right target architecture, whether that’s Fabric, Synapse, or Databricks, and a roadmap with real costs attached.
AI-Enhanced Operations
Future-Ready Architecture
We employ an approach to legacy code modernisation that creates systems that adapt to changing business requirements.
The Math on Old Software Has Changed
Organisations are struggling with data-quality challenges, the rising cost of aging systems, and the need to upgrade those systems. However, AI has made upgrades faster and cheaper, so it makes sense to act.
Old System Drains Budgets
Organisations spend a fortune just to keep old software running and patched, often ignoring that building new is better, cheaper, and more effective.
Most Common Issue
According to McKinsey's report, many Fortune 500 companies are still depending on systems that are 20 years old. Business owners should understand that they are not alone in this situation.
AI Transforms What's Possible
On September 23, 2025, GitHub Copilot's app modernisation tool for Java and .NET became widely available. Tasks that required months of manual work can now be done in days. AI-driven modernisation is worth investing in.
What the AI Does and What Our People Own?
Most businesses think that AI-led means “AI-only” but they are wrong. Here is an honest breakdown of how we divide the work.
What Responsibility AI Fulfils?
- Processing and scanning a huge codebase to map out dependencies and potential threats.
- Updating frameworks and package versions.
- Handling repetitive refactoring and fixing build errors that pop up after upgrades.
- Creating Docker files and other containerization files.
- Improving coverage before changes are made by writing missing unit tests.
What PSSPL's Engineers are Responsible for?
- Deciding the target architecture and the right patch for each application.
- Carefully checking all the changes AI makes against test results.
- Making security, data handling, and access-control decisions.
- Giving the final approval before any release.
- Taking care of the business logic tied to money, safety, or compliance.
PSSPL's AI-Led Modernisation Workflow
Assess
Add Test Coverage
We ensure your test coverage is strong; if it’s weak, we build it up first using AI that drafts the tests, then our engineers verify them.
Upgrade and Transform
The AI agent tackles framework upgrades, dependency updates, mechanical refactoring, and build fixes. Every change is reviewed individually.
Containerise and Move to the Cloud
Support and Improve
We remain involved post go-live to fine-tune, address issues, and tackle the next phase, which means modernization is an ongoing journey rather than a single occurrence.
The Toolchain
Job
What We Use
AI Modernisation Agent
GitHub Copilot app modernisation for Java and .NET
.NET upgrades
Windows apps that cannot be rewritten yet
Migration Assessment
AWS-based Estates
Amazon Q Developer transformation where a project sits on AWS.
Targets
Azure App Service, Azure Container Apps, AKS, microservices.
Quality and Security
AI-Led Modernisation Services
Data governance becomes a key factor in analytics because the accuracy and integrity of the data are what matter. We incorporate governance in the analytics platform by design, not through reactionary measures after problems arise.
Modernization Assessment
PSSPL employs an approach where we conduct a thorough checkup of your entire codebase. To speed up this process, we leverage AI. We filter out outdated and risky data and provide a clear plan. Our clear plan consists of an estimate of how much time and effort it will take for an individual application.
Framework and Dependency Upgrades
Many businesses are still working on old and outdated technology that no longer supports or updates its makers. Our AI-led legacy modernisation services help businesses move from these outdated foundations to modern .NET; we also update older versions of Java to current versions and fix any errors that arise.
Code Transformation and Refactoring
We restructure and clean up code without changing what it actually does at scale by leveraging repeatable, mechanical processes. Every single change is reviewed on an individual level. We pack and move your application to Microsoft Azure's cloud. We choose the best hosting option for each app based on what aligns with your business.
Re-Architecture to Microservices
Applications back then were built as one giant, tangled block of code, also known as a monolith. If one part breaks or needs an upgrade, it becomes risky to touch the entire app. We break this monolith into smaller, independent parts known as microservices. Then each piece can be updated, fixed, or scaled on its own without disturbing the rest of the application. This makes the entire system more flexible and manageable.
Test Coverage and Quality
We dont just make major changes right away; there is an entire process behind it that ensures things are working properly. We perform certain tests that act as a safety net, identifying any accidental breaks during modernisation; they protect the code from facing any challenges in the long run.
Frequently Asked Questions
PSSPL help businesses reduce technical debt by aligning each application to the right modernisation approach instead of focusing on a sole method. For your core ecosystem to fit your workload, we map our solution across six paths: rehost, re-platform, rearchitect, rebuild, replace, and run.
PSSPL uses the GitHub Copilot app for modernisation in Java and .NET, generally available from 23 September 2025, and the .NET Upgrade Assistant, Azure Migrate, Roslyn analyser, and Amazon Q Developer.