FocusedFit Case Study
AI-Driven Platform Modernization
Services
AI Modernization
Industry
AI Company
We needed new features to support secure external collaboration and improve user experience "
The Client Project
FocusedFit is an AI-powered professional services enablement platform designed to streamline talent acquisition and client engagement for recruiting agencies and consultancies.
The platform needed modernization and new features to support secure external collaboration and to improve the user experience.
The Requirements
The platform required secure document sharing with external stakeholders, performance optimization for large datasets, modernizing the UI/UX, and refactoring complex legacy components to improve maintainability.
- Enable secure file sharing with clients without requiring account creation
- Improve performance for handling extensive contact and company databases
- Modernize the user interface with contemporary design standards
- Reduce technical debt in legacy components
- Implement a file management system for candidate documents
- Build an authentication system for external stakeholders
- Optimize database queries and page load times
Faster Page Load
- 3x
Reduction in code complexity
- 78%
Smaller CSS bundle
- 30%
Implemented Services
We delivered 15 major features across 88+ commits over 4 months, modernizing the platform’s capabilities and user experience.
Delivered secure passwordless OTP
Delivered secure passwordless OTP authentication and public candidate-viewing without accounts, backed by AWS Secrets Manager.
Optimized React Query caching
Optimized React Query caching for faster page loads and smoother data fetching.
Built a complete S3
Built a complete S3-based file management system with CRUD, public/private sharing, expirations, and access tracking.
Modernized UI/UX
Modernized UI/UX with Tailwind v4, shadcn/ui + Radix components, responsive navigation, and full dark-mode support.
Added reliable file upload/download flows
Added reliable file upload/download flows with progress, error handling, and multi-tenancy isolation.
Integrated an AI assistant panel
Integrated an AI assistant panel for contextual support inside the application.
Improved performance with infinite scrolling
Improved performance with infinite scrolling, debounced search (−70% API calls), and a 78% reduction in frontend code complexity.
All Technologies Used
We implement a tech stack built for production-scale AI and data systems, prioritizing reliability, automation, and cloud flexibility. It combines modern ML frameworks, agent orchestration, and data engineering tools.
The platform now delivers a faster, more secure, and modern experience end-to-end"
The Results
The collaboration resulted in significant improvements across platform performance, security, and user experience.
- 88 commits delivered over 4 months
- 15 major features implemented from design to production
- 10,000+ lines of code added across 50+ files
- 100% TypeScript coverage for improved type safety
- 3x faster page load times through infinite scrolling and query optimization
- 78% reduction in component complexity, improving maintainability
- 30% smaller CSS bundle after Tailwind v4 migration
- 60% fewer loading states with optimized React Query patterns
- 90%+ test coverage on critical user flows
The platform now delivers a faster, more secure, and modern experience end-to-end.
Security improved with passwordless access and controlled sharing, while the new S3 file system streamlined document workflows. Performance optimizations and a redesigned UI made daily use noticeably smoother.
Additional tools PDF export, bug reporting, and reliable deletion flows boosted stability. With AI assistance integrated, the product is now smarter, more efficient, and ready to scale.
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