Modernization

AI-Assisted Legacy Application Modernization

Cut migration time with AI-driven code transformation.

We help enterprises understand, refactor and move legacy code to modern languages, cloud and architectures, with testing that protects the business logic.

  • UnderstandAI reads the old codebase
  • MigratePhased, with less downtime
  • ProveTests that check parity
Code transformationSample
ORDERTOT.cblLegacy
OrderTotal.javaModern
0 rules extractedParity tests 0 / 148

Illustrative snippet. Real work starts with an assessment of your code.

🔍AI reads the codebefore anyone rewrites it
✅Parity testedbusiness logic protected
COBOL✦VB6✦C++✦Java✦.NET✦Microservices✦AWS✦Azure✦GCP✦CI/CD✦COBOL✦VB6✦C++✦Java✦.NET✦Microservices✦AWS✦Azure✦GCP✦CI/CD✦

Why modernize

Legacy systems that are slowing you down

Legacy systems slow innovation, raise maintenance cost and create security gaps. Manual rewrites are expensive and easy to get wrong. AI-assisted modernization helps you migrate, refactor and optimize more quickly and more safely.

We start with a legacy code assessment. Models scan the codebase and produce a modernization roadmap, then a phased plan that limits downtime. You get faster delivery, safer migrations and software that is ready for what comes next.

InnovationEvery change takes longer than it should
CostMaintenance eats the budget for new work
SecurityOld dependencies and unpatched gaps
RewritesManual and error-prone when done by hand
01

Faster migrations

AI-powered transformation shortens the timeline.

02

Lower risk

Automated testing helps preserve business logic.

03

Lower maintenance

Cleaner, modular, documented code costs less to keep.

04

Cloud and DevOps ready

Applications prepared for modern CI/CD.

05

A stack you can keep

Scalable frameworks instead of another dead end.

Try it · legacy risk check

How urgent is your legacy problem?

Tick what sounds familiar. This is a quick gut-check to start the conversation, not a verdict on your systems.

    Core capabilities

    Core modernization capabilities

    Understand the code, change it, move it, and prove it still does the job.

    Choosing a path

    There is more than one way to modernize

    The right path depends on the code, the risk you can take and what the business needs next. Select a path to compare.

    Try it · phased cutover

    Move one piece at a time, with a way back

    A phased plan limits downtime. Slide to move services from the legacy system to the new one and watch the traffic shift.

    Services moved0 of 8
    Legacy62%
    Modern38%

      Try it · parity testing

      Prove the new code gives the same answers

      Automated tests run the old and the new code on the same inputs and flag any difference. Here, the old system truncates interest to the cent. Watch what a naive rewrite does.

      Principal25,000
      Annual rate6.35%
      Term (months)17
      Apply the legacy rounding rule in the new code

      Where legacy hides

      The same problem, in every industry

      Pick an industry to see the estate we usually meet, what tends to break, and a sensible first target.

      Estimate

      What could AI assistance change?

      A rough sizing to start the conversation. Real numbers come from the assessment, and the acceleration you assume should come from a pilot on your own code.

      Lines of code400,000
      Code complexity
      Documentation today
      Assumed AI acceleration35%

      Illustrative sizing · not a quote

      How we deliver

      How a modernization runs

      Assessment first, then a phased plan that protects the behavior you rely on.

      What you get

      What the modernization can include

      🔄

      Language migration

      COBOL, VB6, C++, Java, .NET and similar estates moved onto modern stacks.

      • Rules carried across, not lost
      • Idiomatic code in the new language
      • Parity checked against the old system
      🧱

      Architecture modernization

      Monoliths broken toward microservices, with cloud support on AWS, Azure or GCP.

      • Services cut along real boundaries
      • Containers and managed cloud services
      • Phased cutover with a way back
      📚

      Knowledge that stays

      Automated documentation and ongoing refactoring as the enterprise system keeps changing.

      • Docs generated from the code itself
      • A living map of dependencies
      • Refactoring that continues after go-live

      Deliverables

      What lands in your hands

      🗺Modernization roadmap

      A phased plan based on what the code actually does.

      📄System documentation

      Generated from the code, so it matches reality.

      🧪Parity test suite

      Old and new run side by side on the same inputs.

      🧱Modernized services

      Clean, modular, maintainable code you own.

      ⚙️CI/CD pipeline

      Build, test and deploy ready for modern DevOps.

      🛡️Security and performance review

      Compliance and speed checked on the new code.

      FAQ

      Questions, answered

      Want this scoped to your systems? Talk to our team for a walkthrough.

      Book a free consultation
      Which languages can you modernize?

      Estates such as COBOL, VB6, C++, Java and .NET, moved onto modern stacks.

      Will the business logic change?

      Automated testing is used to preserve functional parity and reduce migration risk.

      Can this include the cloud?

      Yes. Migrations can target AWS, Azure or GCP, including microservices and containers.

      Do we have to stop the business during migration?

      No. The plan is phased to limit downtime, moving one piece at a time with a way back at each step.

      What if nobody understands the old code anymore?

      That is where we start. Models scan the codebase and document what it does, so the roadmap is based on the code rather than on memory.

      Should we rewrite or refactor?

      It depends on the code, the risk and what the business needs next. The assessment compares paths so the choice is made with evidence.

      How do you prove the new system behaves the same?

      Parity tests run the old and the new code on the same inputs and flag any difference, including small ones like rounding rules.

      Who owns the new code?

      You do. The modernized code, documentation and tests are delivered to your team.

      What happens after go-live?

      We continue refactoring and supporting the system as it evolves, so it does not slide back into legacy.

      Let's talk

      Ready to get started?
      Let's build it together.

      Tell us what you are working on. A solution architect will reply with a free consultation, usually within one business day.

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