Case studyKSA Ministry of Justice / AZM | X

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ReactAzureJira.NetPython

The challenge

Najiz’s burdened by 146 fragmented services, many of which overlap, duplicate each other, or differ only by platform or document format. Users must manually choose the correct service, and auditing staff must manually validate signatures, stamps, legal sufficiency, and completeness. This creates slow processing, high operational load, inconsistent decisions, and limited scalability, while paper‑based increase the risk of errors, disputes, and fraud. The system is functional but not optimized for digital transformation or AI‑driven automation.

The outcome

The To‑Be model consolidates the 146 services into unified, AI‑powered categories, enabling automatic classification, legal validation, fraud detection, and routing. AI extracts obligations, verifies authenticity, and initiates enforcement instantly for low‑risk cases. Redundants are merged, paper formats are replaced with digital equivalents, and platform integrations allow automatic data retrieval. The outcome is a streamlined, intelligent, and scalable enforcement ecosystem that delivers faster processing, higher accuracy, reduced manual workload, and a seamless digital experience aligned with Najiz’s national transformation goals.

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