# AI on the phone – Virtuelle Sekretärin

> Voice AI answers calls and books appointments: what it can and cannot do.

- [AI Receptionist: How It Works and Where It Fails](https://virtuelle-sekretaerin.de/en/ai-phone-agents/ai-receptionist-how-it-works/): An AI receptionist answers calls, transcribes what the caller says, has a large language model decide on a reply and speaks it with a synthetic voice. It can answer routine questions, book into a connected calendar and take structured messages around the clock. It struggles with names, heavy accents, emergencies and upset callers.
- [AI Receptionist Pricing: Per-Minute Costs and Extras](https://virtuelle-sekretaerin.de/en/ai-phone-agents/ai-receptionist-pricing/): On developer platforms such as Vapi or Retell, an AI receptionist costs roughly $0.08 to $0.13 per minute once speech recognition, the language model, the voice and telephony are added up. Packaged services in Germany charge €0.18 to €0.50 per minute or €9.99 to €1,299 a month, plus up to €799 setup. Integration and upkeep come on top.
- [AI Receptionist and GDPR: What You Must Do in 2026](https://virtuelle-sekretaerin.de/en/ai-phone-agents/ai-receptionist-gdpr/): An AI receptionist can run lawfully under the GDPR and UK GDPR if you have a processing agreement with the vendor under Article 28, tell callers how their data is used, have a valid basis for any transfer outside Europe and keep recordings under control. In the EU, Article 50 of the AI Act has also required an up-front AI disclosure since 2 August 2026.
- [AI Medical Receptionist: Safe Uses and Hard Limits](https://virtuelle-sekretaerin.de/en/ai-phone-agents/ai-medical-receptionist/): An AI medical receptionist can book and move appointments, take prescription refill and referral requests and answer practical questions. It must not give medical advice, and it has to route callers with warning signs to staff or emergency services immediately. US practices need a business associate agreement under HIPAA; EU and UK practices need GDPR safeguards for health data.

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