case studies
Having worked with companies in industries like telecom, manufacturing, logistics and healthcare,
our team brings versatile and cross-functional expertise that can be applied across many industries.
AI-Powered Ticketing & Billing System Modernization
Business Goals
-Improve customer service by optimizing ticketing resolution and billing accuracy
-Reduce billing errors and enhance AI-driven self-service capabilities
Technical Implementation
-Migrated legacy ticketing and billing systems to a cloud-based architecture
-Integrated AI-driven anomaly detection for billing validation and NLP-powered virtual
assistants
-Established big data pipelines for real-time customer insights and predictive analytics
Key Results
-25% reduction in billing discrepancies
-40% faster ticket resolution
-30% increase in virtual assistant adoption
Automated DevSecOps & AI-Driven Engineering Platform
Business Goals
-Streamline software development with automation and AI-driven insights
-Enhance security, reduce deployment time, and improve code quality
Technical Implementation
-Designed a self-service developer workspace provisioning system
-Automated CI/CD pipelines with AI-powered code analysis
-Integrated big data analytics for performance monitoring and predictive maintenance
Key Results
-50% faster software release cycles.
-30% improvement in deployment efficiency.
-20% increase in code quality through AI-assisted reviews
Automated DevSecOps & AI-Driven Engineering Platform
Business Goals
-Streamline software development with automation and AI-driven insights
-Enhance security, reduce deployment time, and improve code quality
Technical Implementation
-Designed a self-service developer workspace provisioning system
-Automated CI/CD pipelines with AI-powered code analysis
-Integrated big data analytics for performance monitoring and predictive maintenance
Key Results
-50% faster software release cycles.
-30% improvement in deployment efficiency.
-20% increase in code quality through AI-assisted reviews
AI-Powered Claims Processing & Platform Modernization
Business Goals
-Improve claims processing efficiency
-Reduce fraud
-Enhance payer integration
Technical Highlights
-Built a cloud-native AI-driven claims platform with fraud detection models
-Developed real-time data pipelines ensuring compliance and seamless integration
Key Metrics
-40% faster claims processing
-25% reduction in fraudulent claims
-30% fewer data synchronization issues and 99.9% system uptime
AI-Driven Predictive Analytics for Providers & Patients
Business Goals
-Enhanced patient engagement
-Reduce hospital readmissions
-Lower operational costs
Technical Highlights
-Architected a multi-tenant cloud platform with microservices
-Integrated AI for predictive analytics and FHIR-compliant APIs for secure data exchange
Key Metrics
-20% fewer readmissions and 25% cost reduction
-35% increase in patient engagement
-50% lower system latency
AI-Driven Predictive Analytics for Providers & Patients
Business Goals
-Enhanced patient engagement
-Reduce hospital readmissions
-Lower operational costs
Technical Highlights
-Architected a multi-tenant cloud platform with microservices
-Integrated AI for predictive analytics and FHIR-compliant APIs for secure data exchange
Key Metrics
-20% fewer readmissions and 25% cost reduction
-35% increase in patient engagement
-50% lower system latency