Category: Case Study

Telecom Provider Reduces Call Center Volume by 40%

End-to-end case study of a telecom operator deploying an on-premise AI assistant to handle high-volume customer inquiries in Arabic.

Client Overview

A leading telecommunications provider in the MENA region with over 50 million subscribers sought to modernize their customer service operations while maintaining strict data sovereignty requirements.

The Challenge

Business Challenges

High call center operating costs
Long customer wait times
Inconsistent service quality
Limited 24/7 support capacity

Technical Challenges

Strict data residency requirements
Legacy system integration
Arabic language support needs
High availability requirements

Regulatory Challenges

Telecommunications regulatory compliance
Customer data protection
Cross-border data transfer restrictions
Audit and reporting requirements

The Solution

GoAI Sovereign Platform Deployment

The client deployed GoAI Sovereign Platform v1 with the following components:

On-Premise Infrastructure: Dedicated GPU cluster with NVIDIA hardware
AI Models: Fine-tuned Arabic language models for telecom domain
RAG Engine: Knowledge base integration with product and service information
Voice Engine: Arabic speech recognition and synthesis

Integration Architecture

The solution integrated with existing systems:

CRM system integration
Billing system connectivity
Network operations data
Customer interaction history

Implementation Timeline

Phase 1: Foundation (Weeks 1-4)

Infrastructure deployment
Base model installation
Security configuration
Initial testing

Phase 2: Customization (Weeks 5-8)

Domain-specific fine-tuning
Arabic dialect optimization
Knowledge base creation
Integration development

Phase 3: Pilot (Weeks 9-12)

Limited production deployment
Performance monitoring
User feedback collection
Iterative improvements

Phase 4: Scale (Weeks 13-16)

Full production rollout
Load testing and optimization
Staff training
Process documentation

Results

Quantitative Impact

40% reduction: in call center volume
65% of inquiries: handled by AI without human intervention
90% customer satisfaction: score for AI interactions
$2.5M annual savings: in operational costs

Qualitative Benefits

24/7 customer support availability
Consistent service quality
Improved agent productivity
Enhanced customer experience

Key Success Factors

Technical Excellence

Robust infrastructure design
Comprehensive testing approach
Continuous monitoring and optimization
Regular model updates

Change Management

Executive sponsorship
Clear communication
Staff training and support
Phased rollout approach

Compliance Focus

Regulatory alignment from day one
Documentation and audit trails
Regular compliance reviews
Proactive regulator engagement

Lessons Learned

1**Start with high-volume, low-complexity inquiries**
2**Invest in Arabic language optimization**
3**Plan for integration complexity**
4**Build robust fallback mechanisms**
5**Engage regulators early**

Conclusion

This deployment demonstrates that sovereign AI can deliver significant business value while maintaining full compliance with data residency and regulatory requirements. The success of this project has led to expansion plans for additional AI use cases across the organization.

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