Case Study | Intelligent Application Engineering
Modernizing PJR Without Disrupting the Core
AI-accelerated application modernization created a modern React experience while preserving proven business logic and establishing a Microsoft Azure foundation for continued product evolution.
Yagnasoft's PJR product supported established business workflows, but its legacy user-interface layer had become difficult to extend. Aykan approached the engagement as a selective modernization rather than a wholesale rewrite.
The team preserved the working core, rebuilt the application layer in React, and used AI-assisted techniques to accelerate discovery, reconstruction and repetitive refactoring—while keeping architecture and quality decisions human-led.
Client
Yagnasoft — PJR product
Sector
SaaS rental software
Engagement
Time-and-materials modernization · Delivered
Foundation
Azure · React · Azure DevOps · Azure OpenAI
1. The modernization challenge
- Legacy UI layer difficult to extend
- Tight coupling raised regression risk
- Undocumented screens and dependencies
- Full rewrite would add avoidable risk
- Need to modernize without disrupting the core
Aykan's approach
- Preserve proven business logic
- Modernize the application layer
- Use AI as a force multiplier
- Deliver in controlled increments
- Build a governed path for evolution
2. What changed
AI-assisted discovery
Accelerated understanding of screens, flows and UI dependencies.
Modern React application layer
A component-based front end replacing the legacy UI layer.
Clearer architectural separation
User experience, state management and backend services separated more cleanly.
Reusable UI components
A stronger foundation for future enhancements and consistency.
Phased modernization
Controlled validation reduced big-bang replacement risk.
Microsoft platform foundation
Deployment, monitoring, security oversight and future-ready AI support.
3. Important distinctions
Selective modernization
Modernize the layer creating the constraint, not the whole system.
Core preserved
Existing business logic and dependable workflows were retained.
AI for engineering
AI accelerated delivery; customer-facing AI features are not claimed.
Governed evolution
A cleaner path for future product and UX improvements.
4. Modernization delivery model
Discover
Analyze screens, flows and dependencies
Separate
Define boundaries between UI and core logic
Rebuild
Implement the modern React application layer
Validate
Review incrementally and contain regression risk
Evolve
Deploy, monitor and continue improving
5. Microsoft-aligned cloud and delivery foundation
 | Cloud and managed application-platform foundation |
 | Repeatable build and deployment practices |
Application Insights | Telemetry and operational visibility |
 | Container-orchestration foundation when required |
Microsoft Sentinel | Security monitoring and investigation visibility |
 | AI-assisted engineering and future Microsoft AI foundation |
 | Modern component-based application experience |
6. Outcomes
Modern front-end foundation
A cleaner, reusable user-interface layer for continued product evolution.
Reduced legacy dependency
Less reliance on outdated presentation technologies.
Safer modernization path
Progress without unnecessary replacement risk.
Governed future evolution
Clear-aligned delivery, observability and security-ready operations.
7. Why this engagement matters
Pragmatic modernization
Change the real constraint while protecting what still works.
AI-accelerated delivery
Use AI to improve engineering effectiveness, not replace judgment.
Microsoft partner foundation
Aykan combines Azure, DevOps and modern application engineering for controlled product evolution.
AI was used to accelerate engineering delivery. The source does not establish that customer-facing AI features were delivered as part of the PJR application.
Ready to modernize a mature product without rewriting the core?
Aykan helps software companies modernize intelligently—preserving business value, reducing risk, and building a stronger Azure-based foundation for what comes next.
