It's time to bring them forward. 87% of enterprises are adopting AI, but 60% of their applications can't participate. CHAI transforms legacy monoliths into AI-native, self-optimizing agentic systems.
A step-by-step autonomous pipeline that transforms decades-old systems into AI-native platforms, with human oversight at every critical junction.
Binary-level analysis, no source code needed. Maps every module, entity, service, and dependency into a comprehensive semantic knowledge graph of your application.
Reinforcement learning models score every component's AI-readiness, identify transformation pathways, and create detailed migration blueprints.
Multi-agent orchestration decomposes monoliths into microservices, generates REST/GraphQL APIs, refactors data layers, and builds AI-native interfaces.
Post-deployment monitoring detects drift and triggers self-correcting workflows. Your applications never become legacy again. They continuously evolve.
See the architectural shift: monolithic systems that can't leverage AI, versus agent-ready microservices that evolve continuously.
Airline Ticket Reservation System: a real-world transformation story.
A decades-old airline ticketing system was transformed into a fully agentic platform with AI-powered pricing, dynamic routing, and autonomous customer service capabilities.
Join the enterprises transforming legacy systems into AI-native, self-optimizing platforms. Start with a free AI-Readiness assessment.
# Legacy to Agentic — Transform Legacy Apps into AI-Native Systems 87% of enterprises are adopting AI, but 60% of their applications cannot participate. CHAI transforms legacy monoliths into AI-native, self-optimizing agentic systems. --- ## The Problem - 87% of enterprises adopting AI by 2026 - 60% of legacy apps are AI-incompatible - 3x faster time-to-market with agentic apps - $1.8T AI market opportunity by 2030 ## The Transformation Journey ### Step 1: Deep Discovery and Analysis (CHAI DART) Binary-level analysis — no source code needed. Maps every module, entity, service, and dependency into a comprehensive semantic knowledge graph. ### Step 2: AI-Readiness Assessment (Intelligence Engine) Reinforcement learning models score every component's AI-readiness, identify transformation pathways, and create detailed migration blueprints. ### Step 3: Autonomous Transformation (CHAI Flow) Multi-agent orchestration decomposes monoliths into microservices, generates REST/GraphQL APIs, refactors data layers, and builds AI-native interfaces. ### Step 4: Continuous Optimization (CHAI Compass) Post-deployment monitoring detects drift and triggers self-correcting workflows. Applications continuously evolve and never become legacy again. ## Platform Capabilities - **No Source Code Required** — Analyzes compiled binaries, runtime behavior, and network patterns. Works with any language, any framework, any age (Java 95%, .NET 92%, COBOL 88%, C/C++ 90%, Python 97%). - **Sovereign AI** — Runs entirely on-premise. Zero data exfiltration. Purpose-built models. - **Days, Not Years** — 14-18 months of manual modernization compressed to 7-14 days. - **Continuous Evolution** — Ongoing monitoring ensures apps evolve with AI capabilities. - **Enterprise Governance** — Every critical decision requires human approval. Full audit trails and rollback. ## Legacy vs Agentic Comparison | Capability | Legacy | Agentic with CHAI | |---|---|---| | AI Integration | Cannot leverage AI | AI-native, agent-ready APIs | | Architecture | Monolithic, tightly coupled | Microservices, event-driven | | Data Access | Siloed, unstructured | Unified knowledge graph | | Scaling | Manual, expensive | Self-optimizing, autonomous | | Innovation Speed | Months per feature | 10x faster with AI agents | | Modernization | 14-18 months | 7-14 days with CHAI | ## Case Study: ATRS (Airline Ticket Reservation System) Legacy ATRS + JSP transformed to AI-native microservices: - 4 modules decomposed, 15+ entities mapped, 10 AI-ready services - 7 days total transformation - AI-Readiness score: 3.5 -> 9.2 / 10 - Tech: ATRS, JSP -> REST, GraphQL, AI Agents --- ## Products - CHAI Universe — AI-powered application discovery and portfolio intelligence: /products/universe/ - CHAI DART — Tri-Vector deep application assessment: /products/dart/ - CHAI Flow — Agentic orchestration for automated modernization: /products/flow/ ## Contact Get your AI-Readiness Score: /contact/ Email: hello@cloudhedge.io