Feb 11, 2026
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VoiceMate AI
Completed

VoiceMate AI

$10,000+
2-3 months
Greece
10+
view project
Service categories
Service Lines
Artificial Intelligence
Domain focus
Technology

Challenge

  • 01: Integration with Microsoft Teams & ACS
    Challenge:
    Connecting the AI bot to Microsoft Teams’ live calling system was complex because of latency in real-time speech streaming. Ensuring uninterrupted conversation flow was critical for user trust.
  • 02: Achieving Natural, Context-Aware Conversations
    Challenge:
    Early prototypes produced robotic responses that lacked emotional depth and context, making interactions feel artificial.
  • 03: Ensuring Data Security and Compliance
    Challenge:
    Voice recordings and customer information had to comply with GDPR without affecting operational convenience.

Solution

  • 01: Integration with Microsoft Teams & ACS

Solution:
Configured a Session Border Controller (SBC) with a dedicated number for direct routing to Azure Communication Services (ACS). An AI Bot Service handles calls, triggering real-time events via WebSocket to the AI backend. Integrated ElevenLabs for TTS/STT processing, enabling natural voice interaction through Azure SDK APIs. This setup ensures smooth, low-latency AI-to-user conversations with dynamic, human-like responses.

  • 02: Achieving Natural, Context-Aware Conversations

Solution:
Adopted ElevenLabs’ conversational voice model, which uses tone modulation and contextual phrasing to mimic natural speech. The AI now adapts tone dynamically based on customer sentiment, ensuring a human-like experience.

  • 03: Ensuring Data Security and Compliance

Solution:
Configured OneDrive for encrypted temporary storage with a 15-day auto-deletion policy. This ensured that all recordings remained accessible for short-term reference while maintaining strict data privacy compliance.

Results

The integration of Microsoft Teams and Azure Communication Services (ACS) enabled seamless AI-powered voice interactions with minimal latency, improving call response efficiency by over 40%. The real-time WebSocket architecture ensured uninterrupted communication between users and the AI backend, significantly reducing call drop-offs and response delays.

By implementing ElevenLabs’ conversational voice model, customer engagement improved noticeably. The AI’s ability to adapt tone and context dynamically led to more natural interactions, increasing customer satisfaction scores and improving call completion rates. Users reported a more human-like experience, strengthening trust and overall engagement.

The implementation of encrypted temporary storage with automated 15-day deletion enhanced compliance and data governance. This reduced data retention risks while maintaining operational efficiency. Overall, the solution delivered improved performance, higher user satisfaction, stronger compliance, and a scalable foundation for future AI-driven communication enhancements.