Modernization CI/CD Pipeline

CORE’s modernization pipeline transforms legacy systems into modern platforms through a structured engineering process that integrates AI-assisted analysis, repository modeling, and forward engineering.

The CI/CD pipeline enables controlled, repeatable modernization across large legacy environments while maintaining traceability between the legacy system and the modern platform.

STEP 01

Analyze Legacy Systems

AI-assisted discovery of code, data, dependencies, and business rules

STEP 02

Build Repository Model

Create a language-neutral system blueprint for transformation

STEP 03

Engineer Modern Platforms

Move to .NET, Java, cloud, and modern delivery pipelines

AI → Repository → Modernization Pipeline

CORE’s AI-assisted discovery process builds a complete repository model of the legacy system before modernization begins.

System Inventory

COBOL
PowerHouse
VB

PL/SQL
Scripts
Batch Jobs

DB2
Oracle
Data Files

AI Discovery & Analysis

Dependency Detection
Business Rule Identification
Complexity Analysis

Pattern Recognition
Code Relationship Mapping

Language-Neutral System Blueprint

Programs
Data Structures
Business Rules

Data Access Logic
System Relationships

Modernization Engineering Phase

Forward Engineering to Modern Platforms

Java / Spring / Angular
.NET / C# / React
Cloud / Microservices

AI analysis feeds the CORE repository, creating a complete digital blueprint of the legacy system before modernization begins. 

Example Assessment Outcome

A large financial services organization engaged CORE to evaluate a 25-year-old claims processing platform.

System Overview

4800

Programs

2.3M

Lines of Code

312

Database Tables

170

Batch Processes

28

Nightly Streams

What the AI-Guided Assessment Discovered

  • 19 percent of the code base was unused or obsolete
  • 430 duplicate business rules implementations
  • 63 undocumented cross system dependencies
  • Several critical calculations embedded in batch scripts rather than application code

Result

The AI-assisted assessment allowed the client to:

  • Reduce the estimated migration scope by 22 percent
  • Identify the highest-risk modules before engineering began
  • Create a phased modernization plan rather than a high-risk “big bang” rewrite

The full system blueprint generated during the assessment became the foundation for the entire modernization program.

Start Your AI-Guided Discovery

Every legacy system has hidden complexity. The question is whether you uncover it before modernization begins or after engineering is already underway.

CORE’s AI-Guided Assessment process gives organizations a complete understanding of their system before transformation begins.

Clear modernization scope

Accurate project timelines

Reduced engineering risk

A blueprint for transformation

If you are planning a legacy modernization initiative, start with a structured discovery.

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