White Paper: Why Most Voice AI Projects Fail at Scale (and How to Fix It)
Voice AI is moving fast. But for many contact centres, scaling it successfully is proving harder than expected.
Despite the rise of Retrieval-Augmented Generation (RAG), many organisations are still seeing failures in production. In fact, around 50% of Voice AI incidents originate from telephony and audio layers, not the AI itself.
So what’s going wrong?
This guide explores the common pitfalls, including:
Despite the rise of Retrieval-Augmented Generation (RAG), many organisations are still seeing failures in production. In fact, around 50% of Voice AI incidents originate from telephony and audio layers, not the AI itself.
So what’s going wrong?
This guide explores the common pitfalls, including:
- Where Voice AI systems most commonly fail
- Why RAG alone falls short in regulated environments
- Why observability and governance are no longer optional
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