Large UAE Healthcare Network (500+ beds)

Manual EDI X12 837 claim generation was taking 45+ minutes per claim, with 18% error rate causing rejections. Medical staff were spending 30% of their time on administrative tasks instead of patient care. US-based AI APIs raised HIPAA and data residency concerns.

Deployed Desero's Agentic AI system using locally fine-tuned LLM (based on Llama-3-70b) to automatically generate EDI claims from unstructured medical charts. The agent extracts diagnosis codes (ICD-10), procedure codes (CPT), and insurance details, then validates against payer rules before human review. 100% air-gapped—no PHI leaves the hospital network.

Regional Insurance Provider (KSA, 2M+ policyholders)

Processing 50,000+ medical claims monthly with 22% requiring manual review due to inconsistencies, fraud patterns, or missing documentation. Average review time: 3.5 days. Using external AI services risked exposing sensitive patient data to foreign jurisdictions, violating NCA requirements.

Implemented Desero's Claim-Guard system—a locally deployed LLM fine-tuned on 5 years of historical claims data (Arabic & English). The model performs real-time anomaly detection, cross-references diagnosis-procedure compatibility, and flags potential fraud patterns. All processing happens within the client's Riyadh datacenter.

Leading Islamic Bank (UAE, $8B+ assets)

Legacy credit scoring models showed bias and couldn't handle Sharia-compliant financial products. Commercial AI APIs (FICO, etc.) lacked understanding of Islamic finance principles (Murabaha, Ijara, Musharaka). Data sovereignty regulations (PDPL) prohibited sending customer financials to US cloud providers.

Desero deployed a custom MLflow-managed credit risk model fine-tuned on 10 years of Islamic banking data. The model understands profit-sharing ratios, asset-backed financing, and Sharia compliance factors. Integrated with the bank's core banking system (Temenos T24) via secure API. All inference happens on bank-owned GPU clusters in Abu Dhabi.

International Law Firm (Dubai & Riyadh offices)

Lawyers were spending 8-12 hours per case searching through 25+ years of Arabic and English case law, contracts, and legal precedents. Generic search tools missed nuanced legal terminology. Uploading sensitive client documents to ChatGPT/Claude violated attorney-client privilege and bar association rules.

Desero built a LangChain-powered semantic search agent fine-tuned on Gulf legal corpora. The system uses RAG (Retrieval-Augmented Generation) to search 500,000+ documents, understands legal Arabic terminology, and can cite specific case law, statutes, and regulatory frameworks. Deployed on firm's private servers with end-to-end encryption.