Modernize Legacy Systems with Agentic AI
An agentic platform that automates Oracle PL/SQL, COBOL/JCL, and MS SQL Server modernization into cloud-native deployments — with auditability and speed.
The new Economics of Legacy Modernization
Faster Analysis
Code Understanding & Generation Accuracy
Reduction in Migration Effort
AI-Augmented Approach
Modernization Lifecycle
A structured, AI-augmented approach to legacy modernization — from discovery to deployment.
Discover
Ingest and catalog legacy codebases, databases, and application architectures automatically.
Analyze
AI-powered deep analysis of code complexity, dependencies, and business logic extraction.
Modernize
Automated code conversion, schema migration, and test generation for target platforms.
Deploy
Equivalence testing, performance verification, and deployment readiness for go-live.
Phase 2
Analyze & Understand
Hazel AI deeply analyzes your legacy codebases and databases, producing a comprehensive modernization blueprint.
Database Analysis
AI scans legacy databases — tables, triggers, views, stored procedures — and maps the complete modern system architecture.
Codebase Analysis
Scans PL/SQL packages, COBOL programs, and SQL Server procedures. Classifies complexity and extracts business logic.
Architectural Mapping
Visualizes dependencies between forms, packages, triggers, and data layers — generating a complete dependency graph.
Modernization Plan
Auto-generates migration items with effort estimates, target platform mapping, and prioritized work packages.
Legacy Codebase Discoveries
Tables
Packages
Triggers
Forms
LOC
Quirks
Modernization Plan
Phase 3
Modernize & Transform
Hazel AI automates the heavy lifting — converting code, migrating schemas, and generating comprehensive test suites.
Automated Code Conversion
PL/SQL to modern REST APIs, COBOL to microservices, SQL Server procedures to cloud-native functions — all automated.
Schema Migration
Legacy tables automatically mapped and migrated to AlloyDB, MongoDB, Aurora, or Azure SQL with data type optimization.
Test Generation
Auto-generated integration and regression tests ensuring functional parity between legacy and modern systems.
Progress Tracking
Real-time dashboards with completion metrics, quality scores, and migration velocity indicators.
Phase 4
Equivalence & Go-Live
Validate that the modernized system is functionally equivalent, performant, and ready for production.
Functional Equivalence
Testing the business logic, quirks, and known bugs — ensuring the modern system behaves exactly like the legacy one.
Performance & Cost Verification
Benchmarking the modern system against legacy performance baselines and validating cloud cost projections.
Deployment Readiness
Continuous tests and deployment pipelines — ensuring the system is production-ready for go-live.
Source & Target Platforms
From legacy databases to modern cloud platforms — Hazel AI bridges the gap.
Legacy Source
Modern Target
Legacy Source
Modern Target
Platform Capabilities
Built for enterprise-grade modernization at massive scale.
Enterprise Grade Security
SOC 2 compliant infrastructure with encryption at rest and in transit, role-based access controls, and audit logging.
Cloud Ecosystem Integration
Native integrations with AWS, GCP, and Azure services for seamless deployment and infrastructure management.
Audit & Compliance
Complete audit trail for every transformation decision, code change, and validation result for regulatory compliance.
Ready to Modernize?
Let's discuss how Hazel AI can accelerate your legacy modernization journey.