Speech-to-Speech AI Delivers More

Why Settle for IVR or Chatbots?

Most companies still rely on IVR menus or text-based chatbots to handle customer queries. But these solutions often fall short — leaving customers frustrated, agents overwhelmed, and opportunities lost.

Let’s break down how Speech-to-Speech AI compares across the metrics that matter:

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First Call Resolution (FCR)

IVR solves issues on the first try about 70% of the time but often escalates or repeats. Chatbots manage around 60%, struggling with nuance and unexpected inputs. Speech-to-text doesn’t resolve issues on its own. Speech-to-speech AI solves 85–90% on the first try by handling complex conversations naturally. Fewer repeat calls mean a better experience and lower call volumes.

Customer Satisfaction (CSAT)

IVR leaves 60–70% of customers satisfied but often feels confusing and impersonal. Chatbots reach 65–75%, good when they work but frustrating when they don’t. Speech-to-text scores around 70%, missing emotional context and flow. Speech-to-speech AI achieves 80–90%, feeling like a natural, empathetic conversation. Happy customers stay loyal and buy again.

Containment Rate

IVR contains 40–50% of calls but is limited by rigid menus. Chatbots manage 50–60%, handling simple queries but struggling with voice. Speech-to-text isn’t a self-service tool. Speech-to-speech AI contains 85%+ by holding real conversations, cutting costs and boosting satisfaction.

Emotional Awareness

IVR, chatbots, and speech-to-text can’t detect emotion, tone, or intent. Speech-to-speech AI can, sensing frustration, urgency, and adjusting responses naturally. Empathy leads to better outcomes, especially for sensitive or high-stakes enquiries.

Multilingual Support

IVR is manual and costly to update for new languages. Chatbots also need separate builds for each language. Speech-to-text doesn’t offer full conversational support. Speech-to-speech AI speaks multiple languages fluently in real time, with no manual scripting needed. A global customer base is no problem.

Addressing Common Concerns

Suggested Messaging by Objection

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