Why Voice AI that works in the US often struggles in EMEA (telnyx.com)

A recent analysis highlights the challenges faced by Voice AI systems in Europe, the Middle East, and Africa (EMEA), emphasizing that while testing may yield positive results, real-world deployment exposes significant latency and compliance issues. For instance, patients in Germany experience delays of 1.2 seconds during calls, and Italian patient calls frequently drop. These problems stem from the complex paths audio takes during calls, which often involve multiple carrier networks, variable data routing, and different compliance regulations across countries, leading to a fragmented user experience. This situation underscores the importance of owning the entire call infrastructure for Voice AI deployments in EMEA. Solutions like Telnyx aim to mitigate these issues by combining telephony, network transport, and AI processing within a single system. By keeping voice traffic on a private network and ensuring that AI inference occurs close to the caller, Telnyx reduces latency and enhances compliance with data residency regulations. This architectural approach allows for greater control over call quality and data flow, making it crucial for Voice AI providers targeting regulated markets to ensure accountability and performance, particularly as they scale operations.