Impact, measured.
Every time.

THE PROBLEM

A Series B FinTech was manually reviewing loan documents across 6 reviewers, each processing 40 applications per day. Errors were costing the company an average of $18,000 per month in corrections.

OUR SOLUTION

We built a custom RAG pipeline on Azure OpenAI that ingests, classifies, and extracts key data from loan documents. A secondary validation AI flags anomalies and routes exceptions to human review. The system integrates directly with their existing CRM.

OUTCOMES

• ✓68% reduction in processing time
• ✓Error rate reduced from 4.2% to 0.3%
• ✓$18,000/month savings in correction costs
• ✓ROI positive within 90 days of go-live

THE PROBLEM

A UK HealthTech company was deploying to production every 6–8 weeks due to manual QA and deployment processes. This was blocking product development and costing them market share.

OUR SOLUTION

We migrated their infrastructure from on-premise to Azure Kubernetes Service, implemented GitHub Actions CI/CD pipelines with automated testing, and introduced blue-green deployment for zero-downtime releases.

OUTCOMES

• ✓Deployment cycle reduced from 6 weeks to 2 weeks
• ✓Zero production incidents in first 6 months post-migration
• ✓Infrastructure cost reduced by 28%
• ✓Engineering team velocity increased by 40%

THE PROBLEM

An Australian e-commerce platform was struggling with peak traffic — their monolithic architecture was causing 8–12 second page load times during sales events, resulting in an estimated $340,000 in abandoned carts per major sale.

OUR SOLUTION

We redesigned the platform as a microservices architecture on AWS, with dedicated services for catalogue, inventory, cart, and checkout. Implemented CDN for static assets and Redis caching for high-traffic endpoints.

OUTCOMES

• ✓Page load time reduced from 8.2s to 0.9s
• ✓Zero downtime during next major sale event
• ✓Infrastructure cost reduced by 40%
• ✓Cart abandonment rate reduced by 23%

THE PROBLEM

A financial wellness startup needed a mobile application for both iOS and Android simultaneously, with a limited runway and no internal mobile engineering capability.

OUR SOLUTION

We built a Flutter application with a single codebase for iOS and Android. The app includes biometric authentication, real-time portfolio tracking, and a notification system with push alerts. Delivered in 8 weeks.

OUTCOMES

• ✓4.8-star App Store rating at launch
• ✓Delivered in 8 weeks to App Store and Play Store
• ✓12,000 users in first 30 days
• ✓Zero critical bugs in first 90 days

THE PROBLEM

A professional services firm was spending 3–4 hours per day per consultant on manual timesheet, billing, and compliance reporting. 12 consultants × 3.5 hours = 42 hours of non-billable work per day.

OUR SOLUTION

We built a bespoke workflow platform integrated with their existing ERP. Automated timesheet processing, client billing, and regulatory compliance reports. Single source of truth for all operational data.

OUTCOMES

• ✓85% reduction in manual reporting time
• ✓Saved 35.7 hours per day across the team
• ✓Full ERP integration in 4 weeks
• ✓100% compliance audit pass rate since deployment

THE PROBLEM

A German manufacturing company was spending $4.8M annually on cloud infrastructure with no visibility into which costs were justified and which were waste.

OUR SOLUTION

We conducted a 2-week FinOps audit, identified $2.1M in optimisable spend, and implemented an automated cost governance framework. Moved workloads to reserved instances and rightsized underutilised resources.

OUTCOMES

• ✓$2.1M in annual savings identified
• ✓$1.4M realised in first 6 months
• ✓Cost governance framework deployed across 4 regions
• ✓Monthly cloud spend visibility for first time