Real outcomes from real engagements

Problem

A warehouse management system built in FoxPro, handling storage optimization, expiration date tracking, and inventory placement algorithms. Data locked in local DBF files. Single-user access, no remote capability. The client faced vendor extinction risk with critical logistics logic buried in undocumented code.

Approach

Deployed AI agents with MCP servers to reverse-engineer storage optimization algorithms, expiration logic, and inventory workflows from undocumented FoxPro source. Automated extraction of data models, validation rules, and placement strategies. Rebuilt as a cloud-native stack with full test coverage.

Impact

• 70% faster migration vs manual rewrite
• 100% business logic preserved
• 60% of functionalities improved
• Modern UI/UX, vastly better experience
• Multi-user access with real-time sync
• Zero downtime cutover

Problem

A digital document management system deployed for internal users — handling document workflows, approvals, versioning, and archival. Running Java 8, end of life, accumulating security vulnerabilities and blocking modern library adoption. The UI/UX had to remain identical. No disruption to thousands of daily users.

Approach

Multiple AI agents analyzed the document management codebase in parallel. A RAG database indexed all internal documentation, API contracts, and test suites. Orchestration layer coordinated automated refactoring, dependency upgrades, and regression testing across the entire workflow engine.

Impact

• 3x faster than manual upgrade estimate
• 100% UI/UX preserved unchanged
• 40% runtime performance improvement
• Zero critical regressions post-launch

Problem

An HR management system covering the full employee lifecycle — candidate sourcing, hiring workflows, onboarding, employee records, and task management. Built on a low-code platform with vendor lock-in, limited customization, scaling bottlenecks, and licensing costs growing faster than the business.

Approach

Mapped every HR workflow — sourcing pipelines, hiring stages, employee records, and task assignments. Rebuilt the complete system as a clean Node.js + React architecture with cloud-native infrastructure. Migrated all candidate and employee data with zero loss.

Impact

• 60% reduction in annual platform costs
• Full ownership of source code
• 5x faster feature development
• No vendor lock-in

Problem

A large announcements platform managing listings, payments, content, and image processing — built as a monolith on Linux with Apache2, MariaDB, and RabbitMQ. 15+ applications sharing one codebase and database. Every change risked breaking unrelated systems. Deployments took days. Feature velocity was near zero.

Approach

Decomposed the monolith into a modular Node.js backend with clear domain boundaries — announcements, payments, content, media. Migrated from Apache2 to modern infrastructure, keeping MariaDB as the database layer. Built separate Next.js + React frontends for each product vertical, unified by a shared design system. Incremental migration — no big bang, no downtime.

Impact

• 15+ apps migrated incrementally
• 80% faster deployment cycles
• Independent team releases
• Shared design system across all frontends