Application and cloud modernization
The autonomous modernization platform beneath your legacy practice
Oracle PL/SQL, COBOL/JCL and SQL Server to cloud-native in weeks.
The new Economics of Legacy Modernization
90%
Faster Analysis
95%
Code Understanding & Generation Accuracy
40%
Reduction in Migration Effort
AI-Augmented Approach
Modernization Lifecycle
A structured, AI-augmented approach to legacy modernization — from discovery to deployment.
Phase 1
Discover
Ingest and catalog legacy codebases, databases, and application architectures automatically.
Phase 2
Analyze
AI-powered deep analysis of code complexity, dependencies, and business logic extraction.
Hazel AI
Phase 3
Modernize
Automated code conversion, schema migration, and test generation for target platforms.
Hazel AI
Phase 4
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.
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
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.