- The Future of Enterprise Applications
From Legacy to Agentic
87%
of enterprises adopting AI
60%
of legacy apps
3x
faster time-to-market
$1.8T
AI market opportunity
Why Shift from
Legacy to Agentic?
The Legacy Problem
- AI-Blind: Cannot leverage AI
- Monolithic architectures
- Siloed, unorchestrated systems
The Agentic Opportunity
- AI-Native architecture
- Self-optimizing systems
- 10x faster innovation
How CHAI™ Can Help
- Application Intelligence
Making Apps Intelligent
CHAI doesn’t just modernize your applications—it makes them intelligent. Through deep code analysis, semantic understanding, and AI-powered transformation, your applications become self-aware and AI-ready.
Deep Code Intelligence
CHAI analyzes and understands your entire codebase, creating a semantic knowledge graph of your application.
Autonomous Modernization
AI agents automatically identify, plan, and execute modernization tasks with minimal human intervention.
Continuous Learning
Your applications evolve and improve continuously, learning from usage patterns and optimization opportunities.
AI-Ready Architecture
Transform monoliths into modular, API-first architectures that AI agents can interact with and orchestrate.
application_intelligence.ai
# CHAI Application Intelligence
analyzing legacy_codebase...
→ 15+ entities discovered
→ 10 service interfaces mapped
→ API endpoints identified
generating knowledge_graph...
✓ Semantic model created
transforming to AI-native...
✓ Microservices extracted
✓ REST APIs generated
✓ Agent interfaces ready
★ Application is now AGENTIC
application_intelligence.ai
# CHAI Application Intelligence
analyzing legacy_codebase...
→ 15+ entities discovered
→ 10 service interfaces mapped
→ API endpoints identified
generating knowledge_graph...
✓ Semantic model created
transforming to AI-native...
✓ Microservices extracted
✓ REST APIs generated
✓ Agent interfaces ready
★ Application is now AGENTIC
How CHAI™ Can Help
- Application Intelligence
Making Apps Intelligent
CHAI doesn’t just modernize your applications—it makes them intelligent. Through deep code analysis, semantic understanding, and AI-powered transformation, your applications become self-aware and AI-ready.
Deep Code Intelligence
CHAI analyzes and understands your entire codebase, creating a semantic knowledge graph of your application.
Autonomous Modernization
AI agents automatically identify, plan, and execute modernization tasks with minimal human intervention.
Continuous Learning
Your applications evolve and improve continuously, learning from usage patterns and optimization opportunities.
AI-Ready Architecture
Transform monoliths into modular, API-first architectures that AI agents can interact with and orchestrate.
application_intelligence.ai
# CHAI Application Intelligence
analyzing legacy_codebase...
→ 15+ entities discovered
→ 10 service interfaces mapped
→ API endpoints identified
generating knowledge_graph...
✓ Semantic model created
transforming to AI-native...
✓ Microservices extracted
✓ REST APIs generated
✓ Agent interfaces ready
★ Application is now AGENTIC
application_intelligence.ai
# CHAI Application Intelligence
analyzing legacy_codebase...
→ 15+ entities discovered
→ 10 service interfaces mapped
→ API endpoints identified
generating knowledge_graph...
✓ Semantic model created
transforming to AI-native...
✓ Microservices extracted
✓ REST APIs generated
✓ Agent interfaces ready
★ Application is now AGENTIC
- Real Results
We're Not Just Talking—
Here's the Proof
ATRS Case Study
Airline Ticket Reservation System
A multi-module Java/Spring enterprise application with complex transactional workflows, transformed into an AI-native, agentic system using CHAI.
4
Modules
15+
Entities
10
Services
REST + Web
APIs
4
Modules
15+
Entities
10
Services
REST + Web
APIs
AI-Readiness Score
3.5 → 9.2
Before → After Transformation
Before (Legacy)
• TERASOLUNA Framework
• JSP Views
• Monolithic WAR
• Session-based Auth
• Embedded ActiveMQ
After (Agentic)
• AI-Native Architecture
• REST + GraphQL APIs
• Microservices
• AI Agent Auth
• Event-Driven AI
Transformation Highlights:
- Complex fare calculation logic made AI-accessible
- JMS-based async processing → Event-driven AI workflows
- Monolithic security → AI-agent compatible auth
- JSP views → Modern API-first architecture
CHAI in Action: ATRS Analysis
Watch CHAI analyze and understand the ATRS codebase
The Transformation Journey
See the complete modernization process
Ready to Make Your Apps Agentic?
Join enterprises worldwide transforming their legacy systems into intelligent, AI-native applications.