دراسة حالة
شركة اتصالات تقلّل حجم مركز الاتصال بنسبة ٤٠٪
دراسة حالة متكاملة لمزوّد اتصالات ينشر مساعدًا ذكياً محليًا لمعالجة استفسارات العملاء عالية الحجم بالعربية.
قراءة المزيد
Client Background
A major government agency responsible for processing citizen documents and applications sought to modernize their document processing capabilities while maintaining strict security and data sovereignty requirements.
The Challenge
Volume and Complexity
2 million+ documents processed annually
Multiple document types (IDs, certificates, applications)
Arabic and English content
Handwritten and printed text
Security Requirements
Classified data handling
No cloud connectivity permitted
Strict access controls
Complete audit trails
Operational Goals
Reduce processing time by 50%
Improve accuracy to 99%+
Enable 24/7 processing
Reduce manual data entry
Solution Architecture
Document Ingestion Engine: OCR and classification
AI Processing Layer: Entity extraction and validation
Integration Layer: Connectivity with existing systems
Governance: Full audit trail and access control
Implementation Phases
1Document analysis and requirements mapping
2Model development for OCR and extraction
3Integration with legacy systems
4Security hardening and testing
5Phased rollout and optimisation
Results
75% reduction: in processing time
99.4% accuracy: on data extraction
85% automation rate: for standard documents
Significant reduction in backlog and manual effort
Conclusion
This deployment demonstrates that government agencies can successfully implement AI-powered document processing while maintaining the highest security standards and strict data sovereignty.