Unlocking Voice AI for EMEA: The Need for Control
Voice AI holds incredible promise, yet many deployments falter under complex operational conditions. A recent case study involving a French healthcare company highlights significant challenges when scaling AI across Europe, the Middle East, and Africa (EMEA):
- Latency Issues: German patients experience 1.2 seconds wait time, while Italian calls frequently drop.
- Data Compliance: Call recordings spark confusion, leading to inconsistent vendor responses.
- Fragmented Systems: The path audio takes—through multiple carriers and networks—compounds problems, introducing variability that degrades call quality.
What’s the solution? Ownership of the entire call path. By ensuring a controlled environment where latency is minimized and compliance with regulations like GDPR is clear, organizations can avoid the pitfalls that hamper performance during real-world deployment.
Join the discussion on how to ensure your Voice AI can scale reliably. Share your experiences and insights in the comments below!
