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6 min readUpdated 5 September 2026
Folded-paper still life on the subject of AI phone assistant
SolutionAI phone assistant

AI phone assistant for your company.

GDPR-compliant. From Germany.

Every missed call is a lost order. But a traditional phone service bills per call and is usually only reachable on weekdays; round-the-clock cover costs extra.

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In short

Someone who calls and reaches nobody rarely calls a second time. Busy lines, conversations with other customers at the same moment and calls outside business hours are the most common reasons. Until now, the classic answer came in two options: a human phone service (reliable, but billed per call and usually weekdays only) or voicemail (free, but a conversion killer). Since 2024 there has been a third: an AI phone assistant that answers calls, answers industry-specific questions, books appointments and forwards to your team when needed, 24 hours a day, in your main language, chosen from 17+ languages, and in English. The market is fragmented: many US providers deliver strong technology but no GDPR compliance. Providers from the DACH region close the compliance gap, but differ widely in EU sovereignty, industry depth and pricing model.

rinqo is the AI phone assistant for DACH SMBs, with three non-negotiable essentials: first, GDPR-compliant on servers in Germany, with EU data processing and a DPA under Art. 28 GDPR. Second, the AI notice under Art. 50 AI Act built into the preset greeting by default. Third, industry depth with ready-made industry templates, for example for medical practices, law firms, trades, tax advisors, property management, real estate and hair salons. For health data and professional secrecy, a supplementary agreement or Section 10 of the DPA applies before going live. We guide you through setup.

Contents

Why rinqo?

Every call answered, 24/7

The agent picks up. Nights, weekends, holidays. Real conversations, not voicemail.

GDPR-compliant from Germany

Servers in Germany, data processing in the EU. DPA under Art. 28 GDPR in place.

AI Act Art. 50 ready 02.08.2026

Default disclosure from the first contact, not after the fact.

17+ languages to choose from, industry-deep

Learns from your website. 7 ready-made industry templates. Adapted to your practice/workshop/firm.

One plan for every channel

Instead of a phone service billed per call or your own office assistant at around €3,800 to €4,900 a month (Entgeltatlas of the Bundesagentur für Arbeit, the German Federal Employment Agency). The monthly plan can be cancelled monthly.

Real handoff instead of voicemail

Urgent cases (emergencies, tight deadlines, critical complaints) the agent passes to your team right away based on your keywords, to the number you have stored or by email.

Before. After.

Without rinqo

Traditional phone service bills per call and is usually only reachable on weekdays, fixed script, no multilingual coverage, no booking, nobody available on weekends.

With rinqo

rinqo's AI phone assistant, reachable around the clock, answers from your knowledge, books into your calendar, main language chosen from 17+ languages, servers in Germany.

The DACH market for AI phone assistants, three segments at a glance

The DACH market for AI phone assistants splits into three segments. First, SMB specialists from the DACH region: solutions with EU hosting and SMB pricing, some focused on a single industry such as craft or medical practices. Second, enterprise platforms: conversational AI for contact centers with 100+ agents, built for corporate clients, with matching project and sales effort. Third, US voice AI providers: technically capable, but processing in the US, which depends on the EU-US Data Privacy Framework and is subject to the CLOUD Act. Plus industry verticals covering one single industry only. rinqo positions itself in the first segment: servers in Germany, industry templates plus wizard, multi-channel from one platform. The choice depends on the use case: a corporate contact center needs something different than a practice with three lines.

  • DACH SMB specialists: EU hosting, SMB pricing, sometimes one industry only. rinqo: multi-channel + industry templates
  • Enterprise platforms: contact centers from 100 agents, project setup, corporate pricing
  • US voice AI: technically strong but Cloud Act exposure for DACH data
  • Industry verticals: deep in one industry, not deployable outside of it

AI phone assistant vs. traditional phone service, which fits your business?

Traditional phone service providers work with human staff handling multiple client accounts in parallel. Advantage: empathy and situational judgment. Disadvantage: billing per call, usually available on weekdays only, round-the-clock cover at extra cost, fixed scripts, no multilingual coverage. An AI phone assistant like rinqo is different in four aspects: first, 24/7 without surcharge because scaling cost approaches zero. Second, the agent learns from your knowledge, your website, FAQ list, documents, and answers industry-deep questions that a generic call-center script cannot anticipate. Third, a main language from 17+ languages, plus English, without extra cost. Fourth, full calendar integration with calendar tools like Google Calendar, Outlook or a calendar with CalDAV access (such as iCloud or Nextcloud).

What does an AI phone assistant cost? 2026 price comparison

DACH pricing for AI phone assistants varies widely. Three models dominate: hybrid plans with included minutes and per-minute overage fees, per-call billing with a minute allowance, and flat rates. With per-minute models, costs rise with every minute of conversation; with per-call models, with every call. On top of that there is usually the phone number. The main cost driver is not the number of calls but industry depth: generic providers are cheap, while industry-specific solutions with GDPR compliance cost more. rinqo relies on a fixed monthly price with industry depth.

  • Entry level: phone minutes for a small business, one phone number, all industry templates.
  • More volume and more simultaneous conversations.
  • A larger allowance and even more simultaneous conversations.
  • Custom volume, a dedicated contact, SLA.

Automated call handling, how does an AI phone assistant (voicebot) work technically?

A modern AI phone assistant works in four layers. First layer: telephony bridge, incoming call lands via SIP trunking (at rinqo: telephony via a provider based in the EU, with speech processing on servers in Germany) on a dedicated phone number. Second layer: speech-to-text, speech is transcribed in real time, at rinqo with processing in the EU. Third layer: Large Language Model, text is contextualized (knowledge base, industry template, conversation history) and a response is generated. At rinqo this runs with contractually guaranteed EU data processing, with no training on customer data. Fourth layer: text-to-speech, response is converted to audio (a German speech synthesis provider with processing in the EU), played back through the SIP bridge. The agent waits until the caller has finished speaking, then answers. Plus: forwarding based on keywords you define, appointment booking in your calendar, and an automatic email summary to your team after every conversation.

How to recognize a strong AI phone assistant, four hard criteria

Anyone comparing AI phone assistants for DACH use should apply four hard criteria: EU sovereignty (where does the LLM run?), AI Act Art. 50 compliance (implemented before 02.08.2026?), industry depth (how many ready templates?) and setup effort (who does it?). rinqo's answers: AI processing within the EU (contractually assured), AI notice built in by default, industry templates plus wizard, guided setup. Many solutions on the market only meet some of these criteria: strong technology without ready industry templates, deep specialization in one single industry, or sales-led setup with hosting outside Germany. Check all four points before committing, they decide legal certainty and day-to-day usability.

Frequently asked questions

Sven Pflüger

Sven Pflüger

Founder, rinqo

Founder of rinqo. Builds a company memory where an organisation's knowledge comes together and stays available, and the AI agents that work from it: on the phone, in the inbox, in chat, in marketing and in further roles. Writes here about bringing AI into companies, about data protection, and about what holds up in daily operation. Developed in Germany, processed in the EU, no US providers.

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