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Voice AI and phone bots

AI Voice Assistant

An AI voice assistant understands spoken requests on the phone, in apps or on devices, accesses your systems and replies with a natural voice, for example for appointment booking, order status or service requests. Context Studios, an AI-native development studio in Berlin, builds such voice AI solutions from concept to operation.

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Slender telecommunications tower with teal antenna dishes against an overcast sky, photographed from belowAI-generated image
Real-time speech processingMultilingual conversationsIntegration with phone system and CRMHandover to staff
  1. Workshop
  2. Setup
  3. Sprint
  4. Build & Support

Fixed price after scoping · proposal within 48 h

Last updated:

(01)

What is an AI voice assistant?

AI technology

An AI voice assistant converts spoken language into text (speech-to-text), recognises the speaker's intent, uses a language model to generate the answer and speaks it with a natural voice (text-to-speech). Connected to phone systems, CRM or ERP, it answers questions and triggers actions.

Specialisation
Voice AI, phone bots, voice control, voice commerce, accessibility
Technologies
Whisper, ElevenLabs, Deepgram, Rasa, realtime speech APIs, Twilio
Target group
Contact centres, product manufacturers, healthcare, automotive, smart home
Project duration
Phone bot typically 4–8 weeks, full system 3–6 months
Compliance
GDPR, telecommunications law, EU AI Act transparency obligation, accessibility

Conversational AI developmentChatbot developmentAI assistant developmentAI for customer service

(02)

What can an AI voice assistant do?

Speak, understand and respond naturally, in real time

(01)

Smart phone bot

An AI-powered phone system understands callers, answers questions and handles processes, with follow-up questions, confirmations and friendly conversation instead of rigid keypad menus.

(02)

Real-time speech recognition

Modern speech recognition with Whisper or Deepgram copes with background noise, accents and technical terms; streaming transcription processes speech while the caller is still talking.

(03)

Natural speech output

ElevenLabs and Google Cloud TTS produce natural-sounding voices with appropriate intonation and pauses. You choose from many voice profiles or develop your own brand voice.

(04)

Multilingual conversations

The assistant recognises the caller's language automatically and answers in the same language, without manual selection and without separate systems for each language.

(05)

System integration

The assistant accesses CRM, ERP, calendars and knowledge bases: voice commands trigger real actions, such as booking an appointment or checking a status, rather than just providing information.

(06)

Smart conversation management

Context-aware dialogue over several turns, targeted follow-up questions and seamless handover to staff with the full conversation context when a request needs human help.

(03)

How is a voice AI solution built?

  1. (01)

    Initial call

    A free 30-minute video call with Michael Kerkhoff. We get to know your project, assess where AI adds value and give you a first estimate of feasibility, effort and timeframe.

    Step 1
  2. (02)

    Proposal & planning

    A detailed feature breakdown, a technical architecture plan and a written proposal covering scope, schedule and a fixed price.

    Step 2
  3. (03)

    AI-accelerated development

    Agile development with weekly demos and production-ready code backed by automated tests. Goal: a working MVP in about 4 weeks.

    Step 3
  4. (04)

    Launch & operation

    Production deployment with complete documentation and handover. 30 days of free bug fixing from final delivery; maintenance and further development by agreement.

    Step 4

Frequently asked questions about voice AI

(01)How natural does an AI voice assistant sound?
Very natural. Modern speech synthesis such as ElevenLabs or the voices of major cloud providers produces natural intonation, pauses and emotion, so many callers hardly notice the difference. We can design a dedicated voice for your brand; we only clone a real voice with the explicit consent of the speaker.
(02)How well does the AI understand dialects and accents?
Modern speech recognition models have been trained on very large multilingual audio datasets and understand common dialects and accents well. For technical language, product names or strong dialects, we optimise the system with custom vocabulary lists and test recordings. We measure the actual recognition quality with recordings from your everyday operations.
(03)Can the voice assistant be integrated into our phone system?
Yes. We connect the assistant via SIP trunks, Twilio, Vonage or directly to your existing phone system, where it is added like a normal participant. Calls can be distributed between AI and staff by time of day, topic or workload, and handovers include a conversation summary.
(04)How quickly does the voice assistant respond?
We optimise the entire chain of listening, understanding and answering for short pauses that feel like a natural thinking pause. Streaming speech recognition, fast models and realtime speech APIs shorten the response time further. We measure the actual latency under real conditions in your phone environment.
(05)Does the voice assistant work offline?
Partly. For in-vehicle or on-device applications we deploy compact models for speech recognition and command understanding directly on the device. Core commands then work offline, while complex conversations need a cloud connection. We define the right balance between offline capability and quality for your use case.
(06)Must callers be told that they are talking to an AI?
Yes. The EU AI Act requires transparency when people interact with an AI system. We design a natural greeting that states this openly and always offer the option to switch to a person. When quality is good, AI interaction is generally well accepted, especially outside business hours.
(07)How much does a custom voice assistant cost?
Costs depend on the number of call reasons, the connected systems, the languages and the telephony integration; a phone bot for a few clearly defined requests is built much faster than a multilingual full system. Fixed price after scoping, proposal within 48 hours. Ongoing costs arise for speech APIs and telephony.
(08)Can the assistant also make outbound calls?
Yes. Outbound voice AI is suitable for appointment confirmations, surveys, payment reminders and proactive customer information, with personalised content and clear escalation rules. We only use it where data protection and competition law allow, meaning with consent, at appropriate times and with an easy way to object.
(09)How are conversations analysed and improved?
Within the scope of consent, conversations are transcribed and analysed: recognition quality, resolution rate, call duration, drop-off points and satisfaction. Misunderstood statements are collected and used to improve vocabulary and dialogues. Regular reports show trends, frequent requests and concrete potential for improvement.
(04)

Technology stack for voice AI

(01)

AI & ML

Whisper & Deepgram (speech recognition)ElevenLabs & Google Cloud TTS (speech output)Realtime speech APIs from OpenAI and GoogleAnthropic Claude & OpenAI GPT (dialogue)Twilio, Vonage & SIP integrationRAG & vector databasesRasa & custom dialogue logic
(02)

Web & Mobile

Next.js & ReactTypeScriptReact Native & ExpoTailwind CSSshadcn/uiVercel Edge Runtime
(03)

Backend & Data

Node.js & HonoPythonPostgreSQL & SupabaseConvex (Real-Time DB)RedistRPC & GraphQLOpenAPI
(04)

DevOps & Infrastructure

Vercel & AWSDocker & KubernetesCI/CD (GitHub Actions)OpenTelemetry & GrafanaLangfuse (LLM Monitoring)
(05)

Voice assistants by industry

Customer service & contact centres

An automated phone line for standard requests such as order status, account information or appointment booking, freeing staff for complex conversations.

Healthcare

Voice-driven patient registration, structured capture of requests and appointment booking, so practices are easier to reach by phone.

Automotive & mobility

In-vehicle voice assistants for navigation, vehicle functions and entertainment, with domain vocabulary and offline capability.

Smart home & IoT

Voice control for building technology, household appliances and security systems with custom wake words and commands.

Manufacturing & industry

Hands-free operation at machines, voice-driven logs and maintenance instructions, robust against noise on the shop floor.

Accessible applications

Voice interfaces for people with visual or motor impairments, so websites, apps and services can be used entirely by voice.

(06)

Voice assistants: example projects

Examples we can build for you

Healthcare

Phone assistant for a medical practice

The assistant answers calls, books appointments in the practice calendar, answers standard questions and forwards urgent cases to the team.

Appointment booking by phone · Transparent AI notice · Handover to the practice team
E-commerce

Service hotline for an online retailer

A voicebot answers questions about orders, delivery and returns with access to the shop system and hands complex cases over with a summary.

Access to order data · Multilingual · Goal: shorter waiting times
Industry

Voice-controlled maintenance instructions

Technicians ask for work steps by voice and document maintenance hands-free; the logs go straight into the maintenance system.

Hands-free operation · Robust against noise · Automatic logs
(07)

Voice AI: consulting in Berlin

Founder AI-native since
2024
Email
info [at] contextstudios [dot] ai

Develop your voice assistant

Talk to us for 30 minutes about your call reasons, systems and goals for voice AI.