AI Voice Assistants for Business: Phone, IVR and Beyond

An AI voice assistant is a system that conducts phone conversations with customers using speech recognition, language processing and speech synthesis — without human intervention. Where traditional IVR systems (Interactive Voice Response) work with menu options ("Press 1 for sales, 2 for service"), AI voice assistants hold full conversations in natural language. The cost per conversation drops from EUR 5-8 with a human agent to EUR 0.30-0.80 with an AI voice assistant.

Businesses across the Netherlands receive millions of phone calls annually. Research from CBS shows that 68% of Dutch people over 45 still prefer phone calls over chat or email for customer service. AI voice assistants combine the convenience of phone contact with the efficiency of automation — and they now speak excellent Dutch.

How Does an AI Voice Assistant Work Technically?

An AI voice assistant goes through three steps with every call:

1. Speech-to-Text (STT)

The caller's spoken words are converted to text. Modern STT engines like Whisper (OpenAI), Google Cloud Speech-to-Text and Deepgram achieve 95-98% accuracy for Dutch — including dialects and accents. Latency is 100-300 milliseconds.

2. Language Processing (LLM/NLU)

The transcribed text is processed by a Large Language Model (LLM) or Natural Language Understanding module. The model understands the caller's intent ("I'd like to reschedule my appointment to next Tuesday"), retrieves relevant data from connected systems (CRM, calendar, ERP) and formulates a response.

3. Text-to-Speech (TTS)

The text response is converted into natural-sounding speech. Platforms like ElevenLabs, Google WaveNet and Amazon Polly produce voices that are nearly indistinguishable from humans. You can choose from standard voices or have a custom "brand voice" cloned.

The total response time — from the moment the caller finishes speaking to the beginning of the answer — is 500-1,500 milliseconds with modern systems. That feels like a natural conversational pause.

Where Do You Deploy AI Voice Assistants?

The strongest use cases are repetitive conversations with predictable patterns:

Scheduling and rescheduling appointments. A dentist, garage or salon receives dozens of calls daily for appointments. An AI voice assistant checks the calendar, suggests available time slots and confirms the appointment — 24/7, including outside business hours.

Order status and tracking. "Where is my package?" is the most common question at webshops. The voice assistant connects to the WMS or track-and-trace system and provides real-time updates.

FAQ answering. Opening hours, prices, location, return policy — 60-70% of incoming calls concern information that's on the website. A voice assistant answers these questions without wait times.

Intake and triage. At law firms, healthcare providers and municipalities, the voice assistant can handle the initial conversation: classify the query, collect basic information and transfer to the right staff member.

Reminders and follow-up. Appointment reminders, payment reminders, surveys after a service visit — outbound calls that currently happen manually or via SMS.

How an AI voice assistant fits alongside other channels like chat and email is covered in our article on chatbot vs. live chat vs. email. And for businesses that also want to be reachable via WhatsApp: check our article on WhatsApp chatbots.

What Does an AI Voice Assistant Cost?

Costs consist of three components: platform fees, per-call charges and integration costs.

The hybrid model is the smartest starting point for most SMBs: the AI voice assistant handles 60-70% of calls, while complex or emotionally sensitive conversations are transferred to a human.

More about the costs of chatbots and voice solutions in our overview of chatbot costs in 2026.

How Well Does AI Voice Technology Speak Dutch?

This is the question every Dutch business asks — and rightly so. Dutch language support has improved drastically over the past two years.

Google Cloud and Azure score best for Dutch, including Flemish accents and regional variants. Whisper is the most cost-effective option but struggles more with heavy dialect.

Important: the 95-97% accuracy applies to standard spoken Dutch. With background noise, heavy accents or technical jargon, accuracy drops to 85-92%. Build fallback logic for this: if the voice assistant doesn't understand the caller, it asks for repetition or transfers to a human.

Which Platforms and Tools Are Available?

The market for business AI voice assistants is growing rapidly. The main platforms for Dutch businesses:

• Vapi — developer-first platform for building voice agents. Flexible, well-documented, from $0.05 per minute. Integration with any LLM.
• Bland.ai — no-code platform for business phone calls. Configure scripts, connect to your CRM and go live within a day. From $0.09 per minute.
• Parloa — German platform, strong in European languages including Dutch. Enterprise focus with extensive compliance features.
• Google Dialogflow CX — powerful conversational AI, suitable for complex conversation flows. Steeper learning curve but maximum flexibility.
• Retell AI — specialized in voice agents with human-like conversation style. Low latency, good Dutch language support.

VoIP and PBX Integration

An AI voice assistant needs to connect to your existing phone system. Most platforms support:

• SIP trunk — direct connection with your VoIP provider
• Twilio — most widely used programmable telephony API
• Vonage — alternative to Twilio, stronger in Europe
• 3CX/Asterisk — on-premise PBX systems via SIP connection

For businesses that want to automate their entire customer service — not just phone — our article on setting up AI customer service is a good starting point.

What Should You Watch Out for During Implementation?

Call Recording and GDPR

In the Netherlands, you may record phone calls provided you inform the caller in advance and have a legitimate interest. For AI voice assistants, the EU AI Act transparency requirement also applies: the caller must know they're speaking with an AI system. Start each call with: "You're speaking with the virtual assistant of [company name]. This call may be recorded for quality improvement."

Transfer to a Human

Always build an escape route. The caller must be able to say "I want to speak to a person" at any point in the conversation — and be transferred immediately. No endless loops, no repeated questions. This isn't just good for customer satisfaction but also a requirement under telecommunications law.

Multilingual Support

Businesses in border regions or with international customers benefit from multilingual support. Most platforms automatically detect the caller's language and switch. Dutch-English language switching works well; Dutch-German and Dutch-French are less reliable.

Testing and Iterating

Start with a limited number of conversation types (e.g., only scheduling appointments) and expand gradually. Analyze conversation transcripts weekly: where does the caller drop off? Where doesn't the AI understand the question? Iterate based on real data, not assumptions.

More about step-by-step automation of business processes in our comprehensive guide to business automation.

Frequently Asked Questions

The Next Step

AI voice assistants are the next evolution after chatbots. They serve the channel that for many Dutch customers is still the first choice — the phone — at a fraction of the cost of a traditional call center.

The technology is mature. Dutch language support is good enough for production use. The platforms are affordable, even for SMBs. And with a hybrid model — AI for routine calls, humans for complex questions — you combine efficiency with customer satisfaction.

Want to know if an AI voice assistant is right for your business? Request a free scan through our AI chatbot service — we'll analyze your call volume, conversation types and integration options.