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Legacy modernisation · COBOL

Transform mainframe COBOL into cloud-native services, de-risked by AI.

Mainframe COBOL runs core banking, insurance and government processes, and its experts are retiring. Paradym Next reads the programs, copybooks and JCL, recovers the business rules and rebuilds them as Java or .NET services with React or Vue 3 front ends: in months, not a multi-year rewrite.

The problem

Your most critical processes depend on code fewer people understand every year.

COBOL systems are stable and proven, but they were designed for batch and terminals. Mainframe costs, scarce skills and the need for real-time digital services put them under pressure.

Retiring experts

The engineers who know the code are leaving, and few replacements are being trained.

Mainframe cost

Capacity charges, licences and specialist operations keep running costs high.

Batch-era design

Overnight batch and terminal transactions make real-time services and APIs hard to deliver.

Change risk

Long, interdependent programs mean even small changes need extensive testing.

Hidden business rules

Decades of regulatory changes, product rules and exceptions are encoded in COBOL paragraphs, copybooks and JCL job streams. Recovering them, with a trace back to the source, is what makes a move off the mainframe safe.

How it works

How our AI-powered modernisation engine works.

Four stages take your COBOL application from undocumented code to cloud-native Java or .NET microservices with React or Vue 3 front ends. AI agents do the reading, mapping, writing and testing. Your engineers approve every stage.

01

Automated discovery and code parsing

Next parses your COBOL programs, copybooks, JCL, CICS transactions and VSAM and DB2 data and extracts the business rules, data flows and integrations inside them. Every rule is traced to the code it came from, so nothing drifts in translation.

02

AI-assisted architecture blueprint

Agents map each module to clean target patterns: Java or .NET microservices, event-driven batch, REST APIs, React, Vue 3 or Nuxt front ends in place of terminal screens, and managed cloud databases. Your architects review and approve the blueprint before any code is written.

03

Automated refactoring

From the approved blueprint, Next generates production-ready code for cloud-native Java or .NET microservices with React or Vue 3 front ends. It consolidates duplicated logic and removes dead code, and your engineers review every change.

04

AI-driven regression testing and validation

Generated test suites run the old and new systems on the same inputs, validating 99% functional equivalence before deployment. Any difference goes to your team to resolve.

Value acceleration

What AI acceleration changes.

Compared with a standard manual migration of your COBOL application.

Up to 40%

less development effort than a standard manual migration.

3–4x

faster upgrade and migration cycles.

Up to 60%

lower operational and cloud infrastructure overhead.

Risk and accuracy

AI does the heavy lifting. Your engineers make the decisions.

For a CTO or CIO, the risk in a rewrite is not speed but correctness. Human review is built into every stage, so AI output never reaches production unchecked.

Traced to source

Every extracted rule and generated module links back to the COBOL code it came from, so reviewers can check it line by line.

Human approval gates

Discovery, blueprint, code and release each need sign-off from your people. Nothing moves forward on AI output alone.

Equivalence testing

Old and new systems run the same test cases side by side, validated to 99% functional equivalence before deployment.

Governed AI

You choose which models are used and where they run, and every agent action is recorded for audit.

Schedule your AI-driven COBOL architecture audit today.

Start with a free assessment of one COBOL application: what it does, what depends on it, and what moving it to cloud-native Java or .NET microservices with React or Vue 3 front ends would involve.