Choosing an AI phone assistant: 12 questions you should ask every provider

Anyone choosing an AI phone assistant should not compare providers by the nicest demo voice, but by four criteria: data protection, integration with their own systems, handover to humans, and support after launch. The following twelve questions make offers comparable – and reveal where additional effort will arise later.

Data protection and legal

1. Where are conversation data processed and stored?

Ask about the server location for speech recognition, language model, and storage – all three may be with different providers. Processing in the EU significantly simplifies the legal assessment.

2. Is there a data processing agreement?

Without DPA you may not provide any personal conversation data to the provider. Also ask to see the list of subprocessors.

3. Are conversations used to train third-party models?

The answer should be in writing and clearly “no” — or there must be an opt-out option.

4. How is the AI labeling implemented?

Callers must be able to recognize that they are speaking with an AI. A brief, friendly announcement at the beginning is the usual approach. More on this in the article AI phone assistant and GDPR.

Technology and integration

5. Which systems can the assistant communicate with?

Calendar, CRM, industry software, ticketing system: ask specifically about Your systems, not a logo list. If there is no ready-made integration – how is it built, and who maintains it?

6. How is the existing phone number connected?

Call forwarding, SIP trunk or cloud phone system – what matters is that your number stays the same and you can define rules (always, when busy, after hours). Background: Integration into the phone system.

7. How quickly does the assistant respond?

Test it yourself by calling. Long pauses after each question are the most common reason callers hang up on the phone. Also pay attention to whether the assistant can be interrupted.

Quality and control

8. How does the handoff to a human work?

Ask whether the assistant can transfer the call live, whether context is passed along, and how callback requests are received — by email, in the CRM, or as a task.

9. What does the assistant do when it does not know something?

The correct answer is: It says so and offers an alternative. An assistant that fills gaps with plausible-sounding answers is a risk.

10. Which analyses do you receive?

Conversation logs, issue categories, transfer rate, resolved issues: Without this data, you cannot assess success. Which metrics are useful is explained in the article Measuring the success of an AI phone assistant.

Project and operations

11. Is there a test phase with real calls?

A pilot with clearly limited use — for example, only outside opening hours — shows faster than any presentation whether the assistant is a good fit for your callers.

12. Who maintains the assistant after launch?

Opening hours, services and processes change. Clarify whether you can update content yourself, how quickly changes are implemented, and what ongoing costs are incurred. Which factors drive the price is explained by What does an AI phone assistant cost?.

How to use the checklist

• Send all providers the same questions in writing in advance.
• Call the demo number yourself and run through two or three typical calls from your day-to-day work – including a difficult case.
• Rate responses as “met / partially met / not met” instead of comparing overall impressions.

How we address these points with the bettersorted AI phone assistantWe would be happy to discuss this in a brief conversation via the contact page. The introduction of an AI phone assistant can be funded as a consulting project: through INQA-Coachingthe federal government covers 80% of the coaching costs nationwide. The funding applies to the support provided, not the software itself. The funding check shows in just a few minutes what is eligible for your business.

Evaluation grid to fill out

Transfer the twelve questions into a simple table and assess each provider consistently:

• Columns: Question · Provider A · Provider B · Provider C · Weighting
• Rating: 2 = met, 1 = partially met, 0 = not met
• Weighting: Data protection and integration weighted double, convenience features weighted once
• Result:weighted sum plus brief note on anomalies

This turns many impressions from the conversation into a traceable decision – also vis-à-vis management, the data protection officer, or the works council.

Warning signs in the offer

• “Works with everything”without specific mention of your systems.
• No testing optionwith real calls before contract signing.
• Unclear data flows:No one can say where speech recognition and the language model are running.
• Long minimum contract termswithout a pilot phase.
• No evaluations:You do not know which concerns were resolved and which were forwarded.

What a good pilot looks like

1. Clearly limited use, for example only outside business hours or only when the line is busy.
2. Fixed term of a few weeks with agreed metrics.
3. Weekly evaluation of the call logs together with the provider.
4. Decision on expansion based on the figures, not on gut feeling.

Which metrics are suitable is explained in the article Measuring the success of an AI phone assistant.

From our project experience

In our own projects, the same pattern keeps emerging: the benefit comes less from the voice than from the clear task. At Blumenhaus am Pfaffenteich the assistant takes orders while customers are being advised in the store; at easy Parken it answers questions about opening hours and rates; at ELLI-Bus passengers book their ride directly by phone.

What all projects have in common: deciding which tasks the assistant is allowed to handle itself was more important than any technical detail.

Internal preparation: What you should clarify before speaking with providers

Many selection processes drag on because it is not clarified internally what the assistant is actually supposed to do. Before the first meeting, put in writing:

• Goal: more availability, fewer interruptions, more appointments – or all three?
• Call volume: approximate number per day, peak times, share outside business hours.
• Top concerns: the five most common reasons for calls.
• Systems: calendar, CRM, industry software, phone system – with manufacturer names.
• Boundaries: Which concerns should always go to a human?
• Responsibility: Who internally manages the assistant?

With this information, providers can respond specifically instead of presenting general information.

Frequently asked questions

What matters most in an AI phone assistant?

Integration with your own systems and a clean handoff to people. An assistant that actually books appointments and, if in doubt, forwards calls relieves more than one with a particularly natural voice.

Should you test an AI phone assistant before buying?

Yes. A limited pilot with real calls – for example only outside business hours – shows whether the assistant fits your callers and their concerns.

Does the provider have to host its servers in Germany?

Not necessarily, but processing within the EU makes the data protection assessment much easier. What matters is that you know where processing takes place for all services involved.

Which documents should a provider be able to present?

A data processing agreement, a list of sub-processors with processing locations, a description of the technical and organizational measures, as well as information on storage and deletion periods.

As of October 2026.