Summary
An AI phone assistant often processes names, phone numbers, conversation content and requests. Whether and how this is permitted depends on the purpose, types of data, legal basis, parties involved and the actual implementation. This checklist helps businesses review the main privacy questions before launch. It is general information, not legal advice or a case-specific assessment by your privacy team.
Privacy starts with the purpose
First describe why you are using the assistant. A specific purpose might be: “Answer calls, handle common administrative questions and send callback requests to the service team.” Avoid vague purposes such as “improve customer data” or “analyse all conversations” unless there is a defined process behind them.
The GDPR requires, among other things, lawful, fair and transparent processing and limiting data to what is necessary. A suitable legal basis must be assessed for each purpose. There is no single answer that applies to every call (GDPR, in particular Articles 5 and 6).
1. What data is processed?
List the information involved. A simple callback workflow may use a name, phone number and reason for calling; booking an appointment may require more. Do not ask for extra details just because the system can collect them.
Consider whether callers might disclose sensitive information. Calls to a medical practice may include health data, which receives special protection. Decide whether the assistant needs any such details and avoid asking for medical specifics when the request is only administrative.
2. Treat audio, transcripts and summaries separately
“The call is processed” can mean different things: live audio is used for speech recognition, a transcript is stored, a summary is sent to staff or an audio recording remains available. These activities have different purposes and risks. Document for each data type whether it is produced, why it is needed and when it will be deleted.
Recording a private conversation may also engage section 201 of the German Criminal Code, which prohibits unauthorised recordings. Assess any recording separately, announce it transparently and use an appropriate process (Section 201 of the German Criminal Code). Transcripts and summaries are not automatically “privacy-free”; they can still contain personal information.
Map VoiceBooker data flows
VoiceBooker can use transcripts and audio recordings and can include email, SMS and external integrations in your workflows. Our feature overview shows which functions are included in each plan. For your actual configuration, record which features you use, what call data they create and which inboxes or connected systems receive it.
Then use your contract documents and information about your specific deployment to establish which service providers are involved, what storage and deletion periods apply and who has access. Our terms state that you are responsible for assessing whether your specific use is lawful under data-protection rules. We enter into a separate data-processing agreement where needed. A product feature or general privacy notice does not replace this assessment.
You can enable audio recording separately in your VoiceBooker assistant settings. Through our API, you can retrieve a call recording if recording was enabled for that session. Review separately whether you record audio, view transcripts or conversation histories, and send summaries by email or to connected systems. Each feature creates a different data flow and serves a different purpose.
3. Give callers clear information
Decide what callers need to know: who processes their details, for what purpose, what information is passed on and how they can exercise their rights. Privacy information must match the actual call flow and be available in an appropriate place.
Make the greeting understandable. If an AI assistant answers, the interaction should not give the impression that the caller is speaking to a person. Briefly explain what the assistant can do and how to reach a person. Have the required notices and disclosure wording reviewed for your specific situation.
4. Clarify responsibilities and service providers
Determine who decides the purposes and essential means of processing and which providers or subprocessors receive data. If a provider processes data on your behalf, check whether a data-processing agreement is required and whether it covers instructions, security, assistance and deletion or return of data at the end of the contract. GDPR Article 28 sets out relevant requirements.
Create a data-flow overview:
- Where are call data collected and processed?
- Which providers receive audio, transcripts or summaries?
- In which countries does processing or storage take place?
- Which subprocessors are involved?
- How are data transferred and protected?
- Who can access recordings, logs and configuration?
Check these points against current contract documents and technical information for your provider and deployment. A provider claim or a server location by itself does not show that the entire process meets privacy requirements.
5. Limit retention and access
Set separate retention periods for recordings, transcripts, summaries and technical logs. Keep data only as long as a documented purpose requires. Limit access to staff who need the data for their role and set rules for exports, email and backups.
Also decide how deletion requests are handled, whether information must be removed from connected CRM or ticketing systems, and which records are subject to separate legal retention requirements.
6. Assess risks and security
Choose technical and organisational safeguards that fit the nature, scope and risks of the processing. These may include role-based access, secure transmission, limited permissions, logging and regular provider reviews. GDPR Article 32 requires a level of security appropriate to the risk.
Assess whether a data protection impact assessment is required for the planned use. This can be relevant where processing is likely to result in high risk, especially with sensitive data, large-scale processing or extensive monitoring. Involve your data protection officer or legal adviser early.
7. Plan human handovers and failure cases
Privacy and service quality also depend on what happens when something goes wrong. Specify which requests the assistant must not handle, how calls reach staff and which details are passed on. Check whether employees need the full summary or whether fewer details will suffice.
Test recognition errors, abandoned calls, duplicate records and unavailable target systems. A clear callback option is better than an unsupported promise that the request is complete.
Pre-launch checklist
- Purposes and data types are documented.
- A legal basis has been assessed for each purpose.
- Audio, transcripts, summaries and logs have been assessed separately.
- Information for callers matches the real workflow.
- Providers, subprocessors, data locations and contracts have been reviewed.
- Retention periods, access rights and deletion routes are defined.
- Security measures and any impact assessment have been considered.
- Handovers, data-subject requests and failure cases are organised.
Conclusion
An AI phone assistant is not automatically compliant or non-compliant with data-protection law. The answer depends on what data is processed, for what purpose and how the whole workflow is designed. Documenting data flows, collecting only what is necessary and assigning clear responsibilities are good first steps.