../kennisbank
28 August 2026/3 min read

Data in your own hands: privacy as the starting point for your AI receptionist

Where does an AI receptionist leave your call data? Keeping data in-house, no training on your conversations and clear retention periods — this is how you keep control over personal data.

#privacy#GDPR#data management#AI receptionist

Every phone line answered by an AI receptionist processes personal data: names, phone numbers, messages, and in some sectors confidential information about clients or patients. Where that data ends up is therefore not a technical detail — it is a core choice.

The difference: your own infrastructure or a generic cloud

Many AI chatbots and voice assistants run on generic clouds where your data inevitably flows through external systems. That raises questions: who has access, where is it stored, and is anything trained on it?

With an AI receptionist you have set up yourself, the choice can work out differently:

  • Data in your own hands. Conversations and transcriptions run on infrastructure you control, with agreed access. You decide who can access the data and how long it stays.
  • No training on your conversations. A major fear with AI is that confidential conversations get used to train models. That is not a given — it must be explicitly excluded.

For sectors where confidentiality is central, such as law firms and civil-law notaries, this is often the decisive argument.

What the GDPR requires

The GDPR has a number of principles that are directly relevant:

  • Purpose limitation — you only process call data for the purpose for which it was collected: handling the call.
  • Data minimisation — do not collect more data than needed for that purpose.
  • Storage limitation — do not keep data longer than necessary. Use an explicit retention period for recordings and transcriptions.
  • Security — appropriate technical measures, including encryption.

If an external party runs the receptionist, that party is a processor and you need a processing agreement (Article 28 GDPR). In it you record what may happen to the data — and that your data may not be used for training.

Practical: retention periods and recordings

Not every call needs to be recorded. A sensible baseline setting is:

  • Transcriptions only for the purpose of handling the call and any quality analysis.
  • A clear, short retention period (for example days instead of years).
  • No recording without informing the caller.

A clear privacy position

Since the AI Act transparency requires callers to know they are talking to AI, it is also logical to make clear in the same breath how carefully their data is handled. Privacy is not just a legal obligation — it is a differentiator for a business that wants to work confidentially.