Case studies

Real outcomes from real engagements

Every project follows the same discipline: understand the problem, design the approach, deliver measurable impact.

Editorial ink illustration of a cracked stone monolith dissolving into a connected network of blue nodes, representing modernization of legacy systems into distributed architecture

Across four engagements

The pattern, not the project.

Four modernization shapes (legacy migration, technical upgrade, platform exit, monolith decomposition) across four sectors. Different stacks, different baselines, one pattern in the numbers.

3-5× typical delivery acceleration vs manual or prior-platform baseline
100% client ownership of code, data, and IP transferred at handoff
0 platform or vendor lock-in retained after engagement close

Numbers above are the cross-engagement pattern. Individual outcomes per case (with the exact metric, baseline, and stack) sit in each card below.

Engagement case studies

Legacy Migration

Warehouse management system: FoxPro to cloud-native

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 than manual rewrite
  • 100% business logic preserved
  • 60% of features upgraded
  • 0 downtime at cutover
FoxPro Desktop + DBF Single-user, undocumented AI Agents MCP Servers Reverse-engineering React SPA Node.js API PostgreSQL FoxPro Desktop + DBF, single-user AI Agents MCP Servers, reverse-engineering React SPA Node.js API PostgreSQL
Node.js React PostgreSQL AI Agents MCP Servers
Technical Upgrade

Digital document management: Java 8 to Java 21

Document management for internal users, running Java 8 at end of life. Vulnerabilities accumulating, modern libraries blocked. UI/UX had to stay identical, no disruption to thousands of daily users.

  • 3x faster than manual upgrade estimate
  • 100% UI/UX preserved unchanged
  • 40% runtime performance gain
  • 0 critical regressions post-launch
Java 21 Spring Boot AI Agents RAG Orchestration
Platform Migration

HR management: low-code to cloud-native

Full employee lifecycle (sourcing, hiring, onboarding, records, tasks) trapped on a low-code platform. Vendor lock-in, scaling bottlenecks, and licensing costs growing faster than the business.

  • 60% lower annual platform costs
  • 5x faster feature delivery
  • 100% data migrated (zero loss)
  • 0 vendor lock-in (full IP transfer)
Node.js React PostgreSQL Kubernetes Terraform
Re-Architecture

Announcements platform: monolith to modular

Listings, payments, content, image processing built as a monolith. 15+ apps sharing one codebase and database. Every change risked breaking unrelated systems; deployments took days.

  • 15+ apps migrated incrementally
  • 80% faster deployment cycles
  • 0 cross-team blockers (independent releases)
  • 1 shared design system across frontends
Node.js Next.js MariaDB Modular Monolith Design System

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Legacy migration, platform rebuild, or modernization at scale. We've done it before. Let's talk about yours.

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