Enterprise Deliverables That Move the Needle

The Challenge

A €2B regional bank was running on a 25-year-old monolithic core banking system. Processing times were slow, adding new features took quarters, and extending into new markets required expensive mainframe licensing.

Our Solution

We migrated the core system to a cloud-native microservices architecture using the Strangler pattern. New services for payments, lending, and account management coexisted with the legacy system for 14 months, with complete data synchronization.

Results Delivered

• 45% reduction in transaction latency (1.2s → 0.66s average)
• Feature deployment time: quarters → weeks
• €4.2M annual savings in license and maintenance costs
• Extended into 3 new markets during migration
• Zero unplanned downtime across migration

The Challenge

A hospital network was managing patient records across 150 clinics using fragmented systems. Clinicians couldn't access complete patient history, and compliance audits were nightmarish.

Our Solution

We built a unified EHR platform with HL7/FHIR interoperability, end-to-end encryption, and audit logging. Integrated with existing practice management systems via APIs.

Results Delivered

• Unified patient view across all 150 clinics
• Reduced average diagnostic time by 22%
• Zero HIPAA violations since launch (18 months)
• Clinic staff training: 2 weeks → productivity in 3 days
• Patient engagement +40% year-over-year

The Challenge

A multinational retailer was managing inventory and orders in 5 different systems. Store managers couldn't see real-time stock, and customers saw inconsistent pricing and availability.

Our Solution

We built a unified commerce platform with real-time inventory sync, dynamic pricing, and omnichannel customer engagement.

Results Delivered

• Real-time inventory visibility across 280 stores
• Order fulfillment time: 3 days → 4 hours average
• Inventory accuracy improved from 78% → 99.2%
• Customer engagement tools increased repeat purchase rate by 31%
• Reduced overstock waste by €2.8M annually

The Challenge

An energy company operated 1,200+ wind and solar installations across 8 countries. Downtime was unpredictable and unplanned maintenance was expensive.

Our Solution

We built an IoT analytics platform that ingests sensor data from all installations, predicts failures 7-14 days in advance, and optimizes asset performance.

Results Delivered

• Predictive maintenance accuracy: 87% (caught issues before failure)
• Unplanned downtime reduced by 66%
• €8.4M in avoided downtime costs (12 months)
• Asset performance optimization improved output by 12%
• Real-time dashboards for 24/7 operations team