The biggest upside is how natural the German voice sounds, especially for formal situations like an Arztpraxis. Patients don’t feel like they’re talking to a robot, which is crucial if you want people to accept it and not hang up. The tone, pauses, and “Sie-Form” feel right.
Another strong point is reliability. Once it’s set up, it runs stable. Calls don’t randomly drop, and you don’t constantly have to fix things in the background. For a practice, that matters more than fancy features.
It’s also very practical. You can cover 80% of the repetitive calls (appointments, prescriptions, opening hours) without overengineering anything. And when something gets too complex, it can cleanly hand off to a human.
Lastly, the pricing is transparent. You know roughly what you’ll pay each month, instead of getting surprised by hidden usage costs. Review collected by and hosted on G2.com.
The biggest downside is limited customization. You can build solid call flows, but if you want very complex logic or highly dynamic conversations, you hit boundaries fairly quickly. Compared to developer-first tools, you don’t have full control over every detail.
Another drawback is the pricing at higher volumes. Once call minutes increase, the cost ramps up fast. It’s fair for what you get, but for very high call traffic it can feel expensive compared to building a custom stack.
The setup is also not truly plug-and-play. While it’s no-code, you still need to think carefully about scripts, edge cases, and handovers. If someone expects it to “just work” without planning, they’ll be disappointed.
Voice quality is good, but you’re locked into their ecosystem. You can’t freely swap voices or AI models the way you can with more technical platforms, which limits experimentation. Review collected by and hosted on G2.com.
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