Case Studies

Challenge

Help one of the Middle East's largest healthcare providers take their first step into AI — from strategy to implementation, navigating the unique challenges of healthcare data, regulatory compliance, and clinical workflow integration.

What We Built

• →AI readiness assessment and strategic roadmap for clinical and operational AI
• →Healthcare-specific data pipeline design for medical imaging and patient records
• →HIPAA and local regulatory compliance framework for AI deployment
• →Proof-of-concept AI models for clinical decision support
• →Staff training and change management for AI adoption across departments

Challenge

Deploy autonomous AI agents that process data from multiple internal sources with strict security requirements — zero data leakage to external APIs, full auditability, and production-grade reliability.

What We Built

• →4x NVIDIA H200 GPU cluster on Azure for high-throughput inference
• →Multi-agent orchestration system processing data from 6 internal sources
• →Air-gapped LLM deployment — no data leaves the private network
• →Production observability with custom dashboards and alerting
• →Comprehensive runbooks for 24/7 operations team

Challenge

Build an end-to-end AP automation platform that uses AI to extract, code, and process invoices — from PDF upload to payment batch, with 95%+ accuracy on GL coding.

What We Built

• →Azure Document Intelligence for OCR extraction
• →Azure OpenAI for structured data extraction and GL coding suggestions
• →Vector embeddings (text-embedding-3-small) for intelligent account matching
• →Full accounting workflow: upload → OCR → AI extraction → coding → approval → payment
• →Built by our AI engineering team in 2 weeks — 248 files, 29,600 lines of TypeScript