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D-SMART CALL CENTER ASSISTANT

An AI assistant for D-SMART call center operations was launched within weeks, capable of understanding the entire customer journey from campaigns and subscription processes to technical support, billing and package details enabling both customer representatives and customers to access information quickly through natural language queries.

Step 1

Challenge

D-SMART’s call center was facing a high volume of repetitive customer requests every day, such as subscription information inquiries, billing disputes, channel package changes and technical issue reports. This recurring workload was consuming agent capacity, increasing average waiting times, negatively impacting customer satisfaction and driving up operational costs. As a result, customers were forced to wait for long periods even for simple transactions.

Step 2

Solution

Technological Approach

Embedded Within the Microsoft Ecosystem

The AI-powered call center assistant is seamlessly integrated into D-SMART’s existing customer touchpoints web, mobile application and voice (call center) channels by leveraging Microsoft technologies such as Azure Communication Services, Dynamics 365 Customer Service and Microsoft Foundry Agents. This approach eliminates the need for new applications or behavioral changes, ensuring rapid adoption and immediate customer reach.

  • Dynamics 365 Customer Service​
  • Azure Communication Service​
  • Microsoft Foundry​

Context-Aware Customer Engagement Engine

Built on Azure OpenAI and Azure AI Language services, the assistant understands customer intent in real time through advanced natural language processing. It goes beyond simple keyword detection by incorporating contextual signals such as subscriber data, package details, and historical interactions to deliver highly personalized and accurate responses across all service scenarios.

  • Chunking, embedding, semantic indexing​
  • GPT Model
  • Azure AI Language Services​

Real-Time CRM Integration & Intelligent Agent Handover

Through integration with Dynamics 365 and billing systems, the assistant provides instant access to live customer data, enabling quick inquiries on subscriptions, billing and technical issues.

For complex cases, requests are seamlessly escalated to human agents with full context and history, reducing handling time and improving resolution quality.

  • Microsoft Foundry​
  • Dynamics 365 Customer Service​

End-to-End Service Automation with Visibility & Insights

Customers can complete key transactions such as subscription management, billing inquiries, technical issue reporting and service changes directly through conversational interfaces. Power Automate streamlines backend workflows, reducing manual effort and accelerating service delivery.

All interactions are logged and analyzed via Microsoft Fabric and Power BI, providing full auditability and real-time insights into demand patterns, resolution times and operational efficiency for data-driven optimization.

  • Power Automate​
  • Microsoft Fabric & Power BI Streaming Insights​
Step 3

Result

Operational efficiency gains:

Repetitive calls routed to agents have been significantly reduced; agent capacity has been redirected toward complex and high-value customer interactions.

Reduced wait times:

Routine requests are resolved within seconds, leading to a marked decrease in average wait and handling times; customer satisfaction scores have improved.

24/7 uninterrupted service:

Independent of working hours, customers can complete their transactions anytime via self-service channels; service continuity is ensured.

Full traceability and reporting:

All customer interactions are recorded; call center management can monitor demand trends, resolution rates and operational performance in real time.

“This transformation is not merely an operational efficiency initiative; it is a strategic step that redefines D-SMART’s customer experience standards. Our representatives are now focusing on conversations that truly make a difference.”
Dırector of d-smart call center operatıons

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