What is conversational AI?
Large language models (LLMs) understand enquiries in context and formulate appropriate responses in natural language.
Natural language processing (NLP) breaks down input into intentions, entities and sentiment, enabling the system to understand what the enquiry is really about.
Speech-to-text (STT) and text-to-speech (TTS) technologies convert spoken language into written language and vice versa, often in near real time.
Knowledge integration using retrieval-augmented generation (RAG) connects the language model with your own data, such as product information, order statuses or customer service knowledge. This means the AI does not generate answers based on assumptions, but uses verified sources.
The areas of application of conversational AI
AI chatbots
AI Agents
Voicebots and voice assistance
Voice-based conversational AI has made significant progress in recent years. Voicebots understand spoken language in real time and respond using natural-sounding voices, providing an alternative to traditional telephone hotlines with long waiting times. Voice-based assistants are also becoming increasingly common in smart homes, vehicles and industrial maintenance.
Email bots
In email-based customer service, email bots handle recurring tasks. They classify incoming messages, respond directly to standard enquiries, pre-qualify complex cases and forward them to the appropriate contact. Language models do not generate these responses using a fixed template. Instead, each response is tailored to the content of the original email.
Speech recognition and speech synthesis
Virtual assistants
Siri, Alexa, Google Assistant and their successors use conversational AI for voice-based interactions on smartphones, speakers and wearable devices. Their range of tasks includes appointment management, smart home control, research and shopping. Similar internal assistants are also emerging in B2B environments, supporting employees with recurring tasks.
Speaks for itself: Conversational AI revolutionising customer service
Challenges when implementing conversational AI
User experience
Data protection and compliance
Businesses using conversational AI in the European market operate within a strict regulatory framework. This includes the GDPR, national data protection legislation and the EU AI Act. The EU AI Act classifies AI systems according to their level of risk and introduces transparency, documentation and oversight requirements for high-risk applications.
Conversational AI systems used in customer service generally fall into the “limited risk” category and are subject to transparency obligations. Users must be able to recognise that they are interacting with AI. Businesses that consider these requirements from the outset and choose a provider that stores data in Europe can avoid costly adjustments at a later stage.
Hallucinations and factual accuracy
Integration with backend systems
A bot that can only communicate provides only half a solution. Conversational AI becomes a tool capable of completing processes when it is integrated with shop, ERP, CRM, ticketing and logistics systems. The main obstacle is rarely the AI itself. More often, the challenge lies in connecting it properly to the existing IT landscape.
Lack of confidence
Concerns that AI will replace human work are understandable, but this is not a realistic scenario in day-to-day customer service. Conversational AI handles repetitive enquiries and creates more capacity for cases that require human judgement, empathy or room for negotiation. Businesses that begin early gain both greater efficiency and valuable experience in working with the technology.
7 benefits of conversational AI
1. A better customer experience
2. Lower customer service costs
3. Less pressure on customer service employees
4. A stronger data basis for decision-making
5. Consistency across all channels
6. Accessibility and reach
7. Rapid scalability
Conclusion
The key is not to view conversational AI as a replacement for human customer service, but as a way to strengthen it. AI handles recurring tasks, while your team focuses on the work that creates the most value. This combination is where customer experience and commercial efficiency come together.
Our conversational AI solution for customer service:
novomind AI Platform
Customers expect personalised service, quick responses and communication across all channels. With novomind AI Platform, we offer AI-based intelligent chatbots, mailbots and voicebots to enable personalised communication and fast problem-solving.