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How FlairsTech Delivered Application Modernization Services with .NET, Angular, and AI

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Hagar Hadad
With over four years of experience in writing clear, research-backed technical content,...
More about the authorLast Updated
October 18, 2026
Categories
Application Modernization
Reading Time
2 mins
About the client
The client operated a software platform built on outdated technology versions, including .NET Framework, Angular, and SQL Server. The platform required a technology upgrade to strengthen security, improve performance, and support new AI-powered capabilities.
Challenges:
- Outdated technology stack: The platform relied on .NET Framework 4.0, Angular 8, and SQL Server 2016.
- Security and performance risks: Older technologies limited access to modern security standards and performance improvements.
- Compatibility limitations: Legacy versions restricted support for newer APIs, development tools, and browser features.
- Growing maintenance complexity: Outdated components increased the risk of compatibility problems and ongoing support challenges.
- Limited AI capabilities: The platform needed smarter document creation and better visibility into AI adoption and return on investment.
Solutions:
FlairsTech implemented the following solutions:
- .NET framework upgrade: Upgraded the C# codebase from .NET Framework 4.0 to 4.8.
- Database modernization: Migrated SQL Server 2016 to SQL Server 2022.
- Angular modernization: Upgraded the frontend from Angular 8 to Angular 18.
- AI-powered document creation: Introduced a feature to automate and personalize sales-enablement documents.
- AI usage dashboards: Added dashboards to monitor AI adoption and help teams evaluate usage and ROI.
Impact:
- Improved application performance, memory management, and database query efficiency.
- Strengthened security across the technology stack.
- Improved long-term maintainability while reducing downtime and maintenance overhead.
- Enabled faster, more personalized sales-enablement document creation.
- Provided actionable insights into AI adoption across departments.
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