Glossary:AI voice assistant
9 min.
What is an AI voice assistant?
An AI voice assistant is a software-based solution that understands, processes, and responds to spoken language in real-time — without hold queues, menu trees, or human agents. Unlike traditional IVR systems (Interactive Voice Response), an AI voice assistant recognizes the intent behind a question, maintains the context of the conversation, and independently resolves complex inquiries.
The market for Conversational AI is growing from $17.05 billion (2025) to $49.80 billion by 2031 — an annual growth rate of 19.6% (Source: MarketsandMarkets, 2025, https://www.marketsandmarkets.com/Market-Reports/conversational-ai-market-49043506.html). AI voice assistants are among the fastest-growing segments within this category.
How does an AI voice assistant work?
An AI voice assistant goes through several coordinated processing steps in a fraction of a second:
Capture speech (Speech-to-Text): Spoken words are converted into text. Modern systems operate noise-resistant and reliably recognize dialects, accents, and natural pauses.
Recognize intent (Intent Detection): The AI analyzes the transcribed text and identifies what the caller wants — e.g., track an order, book an appointment, or clarify a product question. It is crucial to understand meaning, not just keywords.
Maintain context: When a caller says “I haven’t received my last order yet” and then asks “When will it arrive?”, the AI voice assistant knows what “it” refers to. This contextual memory fundamentally differentiates it from traditional IVR menus.
Generate response (Text-to-Speech): A personalized response is formulated and delivered in natural, fluent language — no read scripts, but dynamically generated text that addresses the specific situation.
Execute action: Depending on integration, the assistant can trigger actions directly: query CRM data, schedule appointments, create tickets, or initiate a handover to a human employee — complete with conversation logs.
Learning and improving: Every interaction generates analyzable data. What questions come up most frequently? Where does the conversation drop off? This feedback loop continually improves response quality.
At branchly, the AI voice assistant is part of an integrated AI layer as a voice agent module. It accesses the same knowledge base as the AI chatbot and AI search — product catalog, FAQ content, connected data sources — providing consistent answers across all channels. The result: no contradiction between what your chatbot says and what your voice assistant replies.
AI voice assistant vs. traditional IVR system
Feature | Traditional IVR System | AI Voice Assistant |
|---|---|---|
Speech understanding | Recognizes only fixed menu options or individual keywords | Understands natural language, free expressions, dialects |
Conversation management | Linear menu tree — callers must fit in | Free conversation — the assistant adapts to the caller |
Context memory | No memory beyond conversational steps | Maintains conversation context over multiple turns |
Multilingualism | Each language must be configured separately | Natively multilingual — branchly supports 101 languages |
Maintenance effort | High — each new option must be manually implemented | Low — the agent learns from existing content |
User satisfaction | 61% of callers are frustrated (Metrigy, 2026) | 85% of customers prefer AI speech over keypad menus |
Cost per call | €7–12 (human agent), €1–3 (IVR forwarding) | Approximately €0.40 with AI-assisted processing |
Availability | Limited to service hours | 24/7, without additional costs for night shifts |
The numbers make the decision easy: 61% of customers are frustrated with traditional IVR systems, and 85% prefer an AI voice assistant over a keypad menu (Source: VoiceFleet/Metrigy, 2026, https://voicefleet.ai/blog/ai-voice-vs-traditional-ivr-2025-guide). branchly customers additionally report that voice agent activations directly reduce the workload of the support team — while maintaining or improving customer satisfaction.
Why AI voice assistants are important for European companies
Reduce labor costs without sacrificing service quality
According to a Gartner analysis, AI voice assistants will reduce labor costs in contact centers alone by $80 billion by 2026. The cost difference is drastic: A human agent costs €7–12 per call, while an AI voice assistant costs around €0.40 (Source: Gartner via Ringly.io, 2026, https://www.ringly.io/blog/voice-ai-statistics-2026). For companies with several thousand incoming calls per month, this results in substantial leverage — not through layoffs, but by focusing human capacities on advisory-intensive conversations.
branchly makes this leverage accessible to the European middle class: The voice agent starts at €499/month (Starter, 1,000 sessions) — a fraction of what an additional part-time employee in customer service costs.
24/7 availability as a competitive advantage
Customer inquiries do not only come between 9 AM and 5 PM. Those who only offer a voicemail outside service hours miss inquiries — especially in industries with spontaneous information needs like tourism, e-commerce, or real estate. An AI voice assistant is available 24/7, responds in the caller's language, and escalates to the team if necessary with complete conversation logs. Through branchly, this runs within an existing AI layer that also operates AI chat and AI search on the same knowledge base.
IVR replacement as a strategic priority
37.6% of European companies plan to completely replace their IVR systems with AI voice assistants (Source: VoiceFleet/Metrigy, 2026, https://voicefleet.ai/blog/ai-voice-vs-traditional-ivr-2025-guide). This is not a future scenario — the replacement is already happening. Those who wait now risk falling behind competitors who already demonstrate shorter wait times, higher resolution rates, and better CSAT scores. branchly provides the option to implement the transition step by step: Introduce voice agents first for defined inquiry types, measure results, then scale up.
GDPR, EU AI Act, and compliance requirements
For European companies, data protection in AI applications is not a given — especially when speech data is processed. Many US voice assistants transfer audio and transcripts to third countries, which is problematic under GDPR. branchly processes all data exclusively in European Microsoft Azure data centers, is GDPR compliant, meets the transparency requirements of the EU AI Act, and is WCAG accessible. This means: no uncomfortable conversations with the legal department, no conditions for the next data protection audit.
AI Voice Assistant in Practice: Typical Use Cases
E-Commerce
A caller asks: “Where is my order?” — the AI voice assistant asks for the order number or email address, retrieves the status from the connected system, and provides the information in natural language. Additionally, it answers questions about return deadlines, product availability, and shipping costs. For an online retailer with 5,000 calls per month, this means: The majority of these calls are resolved without human intervention. branchly connects the voice agent with the same product database that also utilizes AI search and AI product consulting on the website — consistent answers across all channels, no duplicate maintenance effort.
Tourism
Guests of a hotel or holiday region call — often in a language different from the local one. An AI voice assistant answers questions about check-in times, excursion options, local restaurants, and booking options in English, French, Dutch, or one of the other 101 natively supported languages (Source: branchly, 2026). For tourism companies that welcome international guests, the need to provide multilingual phone hours is eliminated. The most common inquiries — arrival information, booking confirmations, local recommendations — are automatically and personalized handled.
Financial Services
A regional bank or an insurance company receives daily calls about account balances, product terms, appointments, and standard processes. An AI voice assistant takes over the first qualification level: It clarifies the concern, provides structured responses to frequently asked questions, and forwards complex or sensitive cases with complete conversation logs to the responsible advisor. This reduces wait times, increases the first-call resolution rate, and alleviates the advisor team for conversations where human judgment is truly required. branchly ensures that all voice data is processed in compliance with GDPR — a mandatory criterion in the financial sector.
Related Terms
Frequently Asked Questions
What is an AI voice assistant in simple terms?
An AI voice assistant is software that understands phone calls or voice commands and responds in natural language — without a menu tree, without a waiting queue, and without a human having to pick up. It recognizes the intent behind what is said, maintains the conversation context, and can perform actions directly, such as retrieving information from a CRM system or scheduling an appointment.
What is the difference between an AI voice assistant and a traditional IVR?
A traditional IVR system guides callers through rigid menu trees: "Press 1 for orders, 2 for returns." An AI voice assistant understands free language: the caller simply states what they need, and the assistant responds contextually. 61% of customers are frustrated with traditional IVR systems; 85% prefer an AI voice assistant (Source: VoiceFleet/Metrigy, 2026). The difference is not only technical — it is directly reflected in customer satisfaction and resolution rates.
How much does an AI voice assistant cost compared to human agents?
A human customer service agent costs €7–12 per call, a traditional IVR with redirects €1–3. An AI voice assistant is approximately €0.40 per call (Source: Gartner via Ringly.io, 2026). branchly offers the Voice Agent starting at €499/month for 1,000 sessions — which corresponds to a price of under €0.50 per session, including multilingual capabilities, integration options, and GDPR-compliant infrastructure.
Is an AI voice assistant GDPR compliant?
That depends on the provider. For solutions that transfer audio data to US cloud environments, there are GDPR risks. branchly processes all voice data exclusively in European data centers based on Microsoft Azure, complies with the requirements of the EU AI Act, and provides a data processing agreement (DPA). This makes its use legally compliant even in regulated sectors such as finance or health.
How many languages does an AI voice assistant support?
This varies widely depending on the platform. branchly natively supports 101 languages — which means the Voice Agent understands and responds in the caller's language without needing you to create separate configurations for each language. This is particularly relevant for companies with an international customer base or in tourism, where calls can come in dozens of different languages.
Can an AI voice assistant completely replace a human agent?
No — and it shouldn't. An AI voice assistant handles structured, repetitive inquiries: order status, FAQs, appointment bookings, standard information. Complex, emotional, or advisory cases are handed over to a human employee with the complete conversation log. The best implementation is not either-or, but a combination: AI handles volume, and humans handle depth.
How quickly can an AI voice assistant be set up?
Simple voice agent setups can be operational within a few days. At branchly, the Voice Agent uses the same knowledge base as AI chat and AI search — if you already operate other branchly modules, you do not need to reprocess the content. For deeper integrations into CRM or ERP systems, you should plan for a two to four-week implementation time.
How do I measure the success of an AI voice assistant?
The most relevant KPIs are: first-call resolution rate (how many calls are resolved without transfer), containment rate (percentage of calls fully handled by the assistant), average call duration, user satisfaction (CSAT), and cost per call. branchly provides these metrics through the integrated analytics dashboard — you can see in real time which types of inquiries are common and where there is potential for optimization.
Which industries benefit the most from AI voice assistants?
There are particularly high potentials in industries with high call volumes and standardizable inquiries: e-commerce (order status, returns), tourism (bookings, inquiries), financial services (account info, appointment bookings), healthcare (appointment management), and real estate (property inquiries, viewing appointments). branchly has served over 11 million users in similar contexts and processed over 40 million AI-supported sessions — across different industries and use cases (Source: branchly, 2026).
What happens if the AI voice assistant cannot answer a question?
A well-configured AI voice assistant recognizes when an inquiry exceeds its limits and seamlessly forwards the caller to a human employee — including the conversation log, so the colleague doesn't have to start over. At branchly, this escalation logic is configured individually: by inquiry type, time of day, or criticality. This keeps quality assurance in your hands without you having to monitor every call manually.
