Case Studies

These case studies represent real projects with actual outcomes. Details have been adjusted to protect client confidentiality, but the challenges, approaches, and results are representative of our work.

B2B Software
ModernizationDevOpsMicroservicesPerformance

Enterprise SaaS Platform

Size: 150 employees, $20M ARR

Constraints

Could not afford downtime. Had to maintain feature velocity during migration. Limited engineering bandwidth for refactoring.

The Problem

A 6-year-old monolithic Rails application was slowing the team down. Deployment took 2 hours and often failed. The codebase was brittle—every change risked breaking something else. Customer churn was increasing due to reliability issues, and the team could not ship features fast enough to compete.

Our Approach

Started with a technical debt audit to identify the highest-impact areas. Broke the monolith into services incrementally, starting with the most problematic modules. Set up CI/CD pipelines with automated testing and blue-green deployments. Implemented comprehensive monitoring with Datadog. Worked alongside their team, reviewing code and pairing on complex migrations.

Outcome

Deployment time dropped from 2 hours to 15 minutes. Customer-reported incidents decreased by 70%. The team started shipping features 3x faster. Platform uptime improved from 97.2% to 99.9%. Engineering morale improved significantly.

What We Shipped

  • Microservices architecture with 5 core services
  • CI/CD pipelines (GitHub Actions + AWS CodeDeploy)
  • Monitoring dashboards and alerting (Datadog)
  • API gateway with rate limiting and authentication
  • Migration runbooks and rollback procedures
  • Architecture documentation and team training
LegalTech
AI EnablementLLM IntegrationProduct Engineering

Legal Technology Startup

Size: 40 employees, Series A funded

Constraints

Required 95%+ accuracy for regulatory compliance. Needed human-in-the-loop for quality control. Had to work with existing document storage system.

The Problem

Legal teams were spending days manually reviewing contracts and legal documents. The process was slow, expensive, and error-prone. Competitors were starting to use AI, putting pressure on the company to innovate or risk losing market share.

Our Approach

Built a custom AI pipeline using GPT-4 for document classification and entity extraction. Implemented a RAG system with Pinecone for precedent matching across historical cases. Created validation workflows so legal professionals could review and correct AI outputs. Integrated with their existing document management system. Set up monitoring for AI accuracy and cost.

Outcome

Automated 85% of initial document review work. Review time dropped from 3-4 days to 4-6 hours. Achieved 94% accuracy on classification tasks, exceeding the 95% threshold when combined with human review. The feature became their primary competitive advantage and drove a 40% increase in customer interest.

What We Shipped

  • AI document processing pipeline (Python + GPT-4)
  • RAG system with vector database (Pinecone)
  • Review interface for legal teams (React)
  • Document classification API
  • Cost monitoring and optimization scripts
  • Accuracy evaluation framework
  • Documentation for prompt iteration and improvement
HealthTech
Design SystemsUXAccessibilityReact

Healthcare Platform

Size: 200 employees, 3 product lines

Constraints

HIPAA compliance required. Had to support 3 separate products with different frameworks. Accessibility was non-negotiable for government contracts.

The Problem

Three product lines had completely different UIs. Every new feature required rebuilding basic components. Design-to-dev handoff was slow and inconsistent. The company was failing accessibility audits, blocking enterprise contracts. New designers took weeks to understand the inconsistent patterns.

Our Approach

Designed a comprehensive design system starting with an audit of existing components. Built a React component library with 40+ reusable components. Established design tokens for colors, spacing, and typography. Created Storybook documentation with accessibility guidelines. Conducted full WCAG 2.1 audit and remediated all issues. Integrated the component library with Figma using Figma tokens.

Outcome

UI development time dropped by 60%—designers could prototype in Figma and developers could implement using the same components. Achieved WCAG 2.1 AA compliance across all products, unlocking $2M in enterprise contracts. New designers and engineers onboarded 50% faster. The design system became a core competitive advantage.

What We Shipped

  • React component library (40+ components)
  • Design tokens and theming system
  • Storybook documentation with accessibility guidelines
  • Figma component library synced with code
  • Accessibility audit report and remediation
  • Migration guide for existing products
  • Design system governance documentation

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