In a digital-first world, enterprises face rising pressure to modernize legacy systems and accelerate application modernization. Gartner notes that global IT spending will exceed $5.26 trillion1 in 2024, yet much of it is still consumed by maintaining aging technology instead of fueling innovation. McKinsey further estimates that outdated systems drain up to $500 billion ² in productivity annually slowing engineering velocity and widening legacy modernization gaps.
This is where FrontVelocity.AI comes in an intelligent efficiency accelerator that transforms complex, outdated workflows into streamlined, AI-driven development pipelines. Leveraging advanced, AI agent workflows, FrontVelocity.AI enables organizations to move from concept to production-ready applications faster, smarter, and with measurable efficiency gains as part of digital transformation with AI.
FrontVelocity.AI addresses these challenges through an intelligent CrewAI workflow, orchestrating specialized agents that automate UX translation, code generation, accessibility checks, and end-to-end testing. By rapidly converting designs and legacy interfaces into production-ready applications, FrontVelocity.AI enables application modernization outcomes such as 20% faster time-to-market, 20% higher efficiency, and 20% reduced development effort establishing a strong foundation for enterprise application modernization.
A Unified Workflow for Modern, Accessible Applications
A Unified Workflow for Modern, Accessible Applications
At the heart of FrontVelocity.AI is its CrewAI agent workflow, an innovative core for delivering scalable application modernization solutions. It coordinates multiple specialized AI agents to handle distinct stages of the application lifecycle. Each agent is designed to transform a specific input such as a UX design or a legacy codebase into a modern, production-ready output that supports broader legacy system modernization goals.
Here’s a breakdown of how it works:
1.From NLP to Figma Design :
Using NLP Agents, the platform converts natural-language inputs like a product description, user journey, or UX specification into high-fidelity Figma design screens accelerating early-stage application modernization.
• Tools used: FastAPI, Claude Sonnet 4, Quasar Marketplace, Figma Developer Plugin
• Result: High-quality Figma screens ready for stakeholder validation
2. From UX to Frontend & Unit Test :
Using Frontend Agents, the platform converts design assets directly into functional frontend components with test cases a key part of enterprise application modernization.
• Tools used: FastAPI, Claude Sonnet 4, Quasar Marketplace
• Result: Faster UI implementation with built-in QA
3. From UX to Mobile Application & Unit Test :
For cross-platform delivery, Mobile Agents transform UX prototypes into mobile app components with associated tests.
• Tools used: FastAPI, Claude Sonnet 4, Quasar models
• Result: Unified design-to-code workflow for cross-platform application modernization solutions
4. Legacy to Modern Frontend :
Modernizing outdated systems is simplified through Legacy App UI Agents. These agents use AI to upgrade legacy interfaces into modern designs accelerating legacy system modernization.
• Tools used: Code Insight AI
• Result: Responsive, updated UI without manual rewrites
5. Legacy to Business Requirement Document (BRD) :
The Legacy App BRD Agents automatically generate structured BRDs from outdated applications a major unlock for legacy modernization roadmaps.
• Tools used: Code Insight AI
• Result: Clear documentation bridging business and technical teams
6. Accessibility (WCAG Compliance) :
WCAG Agents ensure all generated interfaces meet accessibility standards critical for mature application modernization programs.
• Tools used: FastAPI, Claude Sonnet 4, Quasar Models
• Result: Accessibility built into the development lifecycle
7. Automated Testing :
Test Agents generate automated tests across UI, API, and integration layers enhancing the quality of application modernization solutions.
• Tools used: FastAPI, Claude Sonnet 4, Quasar Models, Playwright, BeautifulSoup 4
• Result: Continuous, reliable test coverage.
Key Use Cases: Unlocking Enterprise Application Modernization at Scale
FrontVelocity.AI’s modular AI-agent framework supports transformation scenarios across industries, especially where enterprise application modernization is a priority:
- Outdated system modernization:Upgrade legacy systems into modern, scalable architectures.
• Design-to-code automation: Automatically translate UX designs into clean, maintainable code.
• AI-augmented code transformation: Enhance and refactor existing codebases with intelligent assistance.
• Multi-platform delivery: Generate web and mobile interfaces from a single source of truth.
• Business documentation automation: Convert legacy systems into structured BRDs effortlessly.
• NLP-powered research and ideation: Support secondary user analysis and concept generation with NLP-powered insights.
Measurable Impact
Through coordinated AI agent workflows, FrontVelocity.AI delivers tangible results across application modernization initiatives:
- 20% increase in overall efficiency
- 20% faster time-to-market
- 20% reduction in development effort
These gains translate into reduced operational costs, accelerated release cycles, and improved engineering productivity aligning modernization investments with clear business outcomes.
The Future of Intelligent Development Workflows
FrontVelocity.AI represents the next stage of digital transformation with AI, moving beyond simple automation toward orchestrated, intelligence-driven transformation. Its approach redefines how organizations conceptualize, design, and deliver modern applications, making legacy system modernization both faster and more predictable.
By connecting design, development, documentation, and testing through intelligent agent collaboration, FrontVelocity.AI provides a complete ecosystem for enterprise-scale application modernization solutions one where legacy systems evolve continuously into future-ready applications.
Alin Bhattacharyya is a certified Enterprise Architect, heading the Omnichannel Practice and working as "Associate Vice President" in Coforge. He has over 20 years of experience in Software Engineering, Web and Mobile Application Development, Product Development, Architecture Design, Media Analysis, AI\ML and Technology Management. His vast experience in Designing Solutions, creating Accelerators using Artificial Intelligence, Client Interactions, Onsite-Offshore Model Management, Research & Development and developing POC’s in new technologies allow him to have a well-rounded perspective of the industry.
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About Coforge.
We are a global digital services and solutions provider, who leverage emerging technologies and deep domain expertise to deliver real-world business impact for our clients. A focus on very select industries, a detailed understanding of the underlying processes of those industries, and partnerships with leading platforms provide us with a distinct perspective. We lead with our product engineering approach and leverage Cloud, Data, Integration, and Automation technologies to transform client businesses into intelligent, high-growth enterprises. Our proprietary platforms power critical business processes across our core verticals. We are located in 23 countries with 30 delivery centers across nine countries.