How much does a chatbot cost?
Chatbots: What do the costs consist of?
How much does a chatbot actually cost, and what exactly does the price depend on? We won’t answer this question with vague sales talk like “It depends”, but will give you specific figures for your use case and an overview of how the costs are broken down.
In a nutshell: This is how much an AI chatbot cost for your use case
Depending on the chatbot’s intended use and the required features – such as multilingual support, channel integrations, etc. – the cost of a business chatbot (based on artificial intelligence, an AI chatbot) starts at €725 per month.
Interested? Feel free to ask for a no-obligation quote for a chatbot tailored to your specific needs – we’d be happy to send you a personalised cost estimate.
The chatbot market shows rapid developments and technological change: More than seven in ten (71%) consumers believe that the quality of chatbots has improved over the past one to two years, and over 60% of respondents feel that the solutions provided are more reliable and accurate, with a better understanding of the bigger picture. Virtual agents are particularly favoured for their speed and convenience. (Capgemini Research, 2025) These findings represent a clear mandate for businesses worldwide and, at the same time, an opportunity to stand out from competitors through technological advancements in AI.
moinAI — one solution, three elements
The AI and NLP models on which moinAI is based are “made in Germany” and developed specifically for companies' customer communication. In this sense, it is not artificial intelligence “off the shelf” but a tailor-made system developed specifically for customer communication by companies from various industries.
Integration into your existing system landscape and tools is straightforward thanks to interfaces and webhooks. Furthermore, moinAI can be integrated not only into your website, but also into messaging platforms and apps. You can find examples and further information on integrations on our integration page.
Even though the artificial intelligence and language understanding behind moinAI can certainly be described as complex, the implementation and processes leading up to going live are kept very simple and require no programming effort or IT knowledge. moinAI stands out thanks to unique features such as ‘Dreaming’. This generates customer insights, clusters them by topic within the Hub (the chatbot’s backend) and suggests them to the chatbot owner.
Chatbot: cost-benefit analysis
The more tailored your business can be to customer needs, the more personalised your offering can be. An AI chatbot goes beyond the role of a support tool; it can provide product advice, handle complaints and process orders. This makes it a long-term investment in the customer journey. The costs and benefits involved depend primarily on the technology used.
Two types of chatbots for use in customer dialogue
There are essentially two different categories of chatbots. Whilst some systems are based on guided dialogues predefined by the developer, newer chatbots utilise artificial intelligence (AI) and employ natural language processing (NLP) techniques. These two types should be distinguished from live chat, where users can ask questions directly by typing free-form text into the chat window. The question is then processed and answered manually by a member of staff. A live chat therefore allows users to chat directly with a company, but does not provide automated answers to questions. For this reason, it will not be examined in greater depth in this article.
Rule-based chatbot
A rule-based chatbot operates using predefined questions and fixed decision trees. Users typically navigate through the dialogue using predefined response options, and the system responds only to pre-programmed keywords or questions.
Whilst this approach can handle common issues, the chatbot quickly reaches its limits when faced with different phrasing or more complex queries. As a result, the scope for automation remains limited. For this reason, AI chatbots are now considered the standard in professional customer service. They understand natural language, learn from interactions and can respond much more flexibly to individual enquiries.
AI chatbot with NLP
If the user asks an AI chatbot with NLP a question, the chatbot uses artificial intelligence to assign a question intent to it and automatically answers the request. In this way, a high level of automation is achieved. The programmed system is able to use natural language and enter into a dialogue with the customer. Natural language processing realizes the processing of natural language. It is a program that makes it possible to understand words in their natural context and to respond to them in an appropriate way. The user can thus communicate with the chatbot via free text input.
ImmoScout24 demonstrates just how powerful modern NLP models are: within two years, the automation rate has increased by 55%, meaning that by the end of 2025, around 75% of all enquiries will be handled entirely without human intervention.
Cost of a chatbot
The more complex and labour-intensive the programming and training of the chatbot are, the higher the costs will naturally be. The following cost drivers are particularly significant in this regard:
Staffs
Even the best and most intelligent technology cannot do without people. A high-quality and well-functioning chatbot naturally requires experienced developers and programmers who not only take care of the planning, but also the technical maintenance and optimization of the systems.
Softwares
The software comprises the backend, the chatbot management system, and the AI and NLP system. AI chatbots use natural language processing to continuously learn from customer dialogues; however, it should be borne in mind that the chatbot’s intelligence stems from continuous training to recognise the intent behind questions. The effort involved in training, programming and customisation has a significant impact on costs. The programmers are familiar with the typical intentions of customers and programme the reference sentences for NLP accordingly – effectively the backbone of communication and, therefore, the customer experience.
Additional costs may arise from integrating with systems such as CRM tools (e.g. HubSpot, Salesforce or SAP). Companies can specify their own custom integrations via interfaces, and the backend for analytics and administration is also tailored to the company’s requirements.
Data protection is a key requirement here: moinAI is fully GDPR-compliant and is hosted on German servers. The AI and NLP models are developed in Germany, which is a decisive advantage for companies in regulated sectors such as finance, energy or healthcare compared to US providers. Transparency for users is a top priority, particularly when handling sensitive data.
Guidance
Any chatbot – particularly an AI chatbot – is only as good as the preparation of its capabilities and how these are implemented in individual customer consultations. Chatbots are software or a cloud-based service. When consulting with the developers, you should definitely establish the level of knowledge your customers have when they start the conversation, what language they speak, and whether your staff should support the chatbots or not. Through these consultations, you can clarify to what extent the ideas are feasible in practice. If the concept is still rather superficial, prototypes can be programmed in joint workshops to illustrate specific conversation flows.
The cost of the project also depends on whether the chatbot is to be integrated into the company’s own website. The developers will then adapt the interface to your company’s corporate identity and make suggestions for a bespoke design. In a joint discussion, you can clarify with moinAI which platforms are suitable for the chatbot. The more integration options available, the more expensive the chatbot’s programming becomes. If you still need to have the interfaces for integration programmed, this involves greater effort and takes more time – and also more of your budget.
Cost estimation for live chats and rule-based chatbots
For a basic live chat with an autoresponder, you’ll pay up to €100 a month – though that’s just for the software. The cost of a rule-based chatbot with a guided dialogue (click-based chatbot) starts at around €10 a month. Without an API connection, the total price for a rule-based chatbot ranges from four to five figures, depending on the scope of work. This includes copywriting, user journeys and a few features. If further aspects are added that require additional programming, the costs for the chatbot rise again.
Cost estimation for AI chatbots with NLP
Chatbots with a custom backend are more expensive, as they involve complex programming work. If artificial intelligence is added – where the framework (the free-text input for customers) can answer a wide range of questions – the price of the AI chatbot increases. This is primarily driven by the training of question intents – that is, how many different questions the chatbot can recognise and answer correctly. For large-scale projects or additional consultancy services, which have individual daily rates, chatbot costs may rise further. Generally, the price for NLP chatbots is in the five-figure range. However, the exact cost must be determined on a case-by-case basis.
The benefits of a chatbot
The benefits of using an AI chatbot are clear:
- Chatbots can be integrated into chat, email or messaging services
- They answer questions instantly and comprehensively
- Chatbots are available 24/7
- and, thanks to AI, they are constantly learning.
The focus is on providing consistently fast, consistent and accurate responses to customer enquiries, and although a chatbot by no means completely replaces staff, it can provide them with significant support in their work. Chatbots and AI agents prove to be particularly effective assistants when internal capacity is stretched. We explain why:
Automation
The high level of automation offered by chatbots enables companies to pre-screen customer enquiries and process them automatically via the chat function or by a member of staff (human takeover). The majority of the implementation costs are one-off. Thereafter, ongoing costs are limited to regular maintenance, adding new question types, updating responses and further developing the bot. Extensive programming work is the exception.
Automation works even in complex B2B environments: sanitary technology manufacturer Geberit uses moinAI across Europe, automating 47% of all incoming enquiries. At the same time, 10% of chatbot conversations are converted directly into qualified leads, with the AI chatbot actively generating revenue for the company.
Cost savings
Chatbots reduce direct support costs by automatically answering enquiries, and cut indirect costs as fewer customers need to contact support. Recurring enquiries are dealt with immediately by the AI chatbot, thereby reducing the workload on staff and freeing up capacity. With every interaction, the chatbot learns more and resolves issues more efficiently, meaning cost savings become apparent after just a few months.
For NeoTaste, automating routine enquiries allowed the company to reduce its cost per support ticket by 30%!
Customer Experience
Customers expect to receive immediate answers to their questions. With a chatbot, even small and medium-sized businesses can meet this expectation.
- Ulrike Albrecht (Head of Communications at Chocoversum)
Interactive communication between customers and businesses is an important investment, as an appealing design can have a direct positive impact on customer relations. Nowadays, a large part of the customer journey takes place online: consumers use the internet to browse and research; what used to be huge shopping centres and shopping arcades are now primarily websites, web browsers and messaging services. AI chatbots reach them right there and respond in real time. Properly implemented chatbots boost customer satisfaction in the long term by providing quick and consistent solutions to questions, problems and complaints, with no waiting time. Gartner predicts that by 2028, at least 70% of customers will use a conversational AI interface to initiate their interaction with customer service. (Gartner, 2026) Die interaktive Kommunikation zwischen Kund:in und Unternehmen ist eine wichtige Investition, da sich die ansprechende Gestaltung direkt positiv auf die Kundenbeziehung auswirken kann.
Conclusion: Cost recovery for AI chatbots
Generally speaking, AI-powered chatbots are more expensive than guided dialogue chatbots; however, artificial intelligence and NLP ensure greater user-friendliness and customer satisfaction. In 2026, moinAI is taking things a step further: with integrated AI agents, enquiries can be answered and entire processes automated. AI agents autonomously execute predefined workflows, such as creating a support ticket, transferring a query to a staff member, or retrieving account data from a CRM. Companies can thus gradually progress from the automation of individual enquiries to full process automation. You can find out everything about AI agents here.
Every company needs contact with customers. The more individually you react to their needs, the more personal you can make the offer. Chatbots are an innovative way to support customers and help them select products or search. The dialog system can also provide advice, handle complaints or trigger orders. It is therefore a long-term investment in the customer journey. The costs of a chatbot and the benefits of the system depend primarily on the respective technology.
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Why moinAI?
The number of chatbot providers and solutions continues to grow. However, it should be noted that not every chatbot is a so-called intelligent chatbot. The moinAI chatbot solution is a chatbot based on artificial intelligence and natural language processing (NLP). This means that the chatbot can understand and respond to the language and intentions of users without human intervention. This guarantees a very high degree of automation.
In addition, moinAI is self-learning and develops independently based on interactions and conversations with users. Chatbots that are not based on artificial intelligence are click chatbots or rule-based chatbots. These bots contain a predefined conversation structure through which the visitor is guided. There is usually no free text input and little individualization possible, which is why the degree of automation is significantly lower than with an AI chatbot.
To finally answer the question “How much does a chatbot cost”...
Simply click on the “Find out the costs of a chatbot” button, fill in the typeform and you will receive a non-binding and individual cost overview within a very short time.
However, the price of a chatbot is not the only point that should be considered. After all, an AI chatbot can also save a lot of money in customer communication. We recommend our ROI calculators so that you can find out your return on investment. The calculators dynamically calculate your return on investment in terms of lead generation or support cost savings. Simply click on one of the following links:
Frequently Asked Questions
How much does an AI chatbot cost?
The cost of an AI chatbot varies from case to case and depends on factors such as scope, channels, integrations and the overall scale of the project. At moinAI, the monthly cost for an AI chatbot starts at €725. Rule-based chatbots are cheaper, but offer a significantly lower level of automation.
What are the main cost drivers for a chatbot?
Three main cost drivers have a significant impact on the price: firstly, staff costs (development, training and system maintenance); secondly, software costs (back-end, NLP training, and integration with CRM systems such as HubSpot or Salesforce); and thirdly, consultancy services (design, workshops and customisation). The most costly item is usually the NLP training: the more different questions the chatbot is expected to recognise and answer correctly, the greater the effort involved.
What is the difference between a rule-based chatbot and an AI chatbot in terms of cost?
Rule-based chatbots start at around €10 per month, whilst more complex projects can cost anywhere from four to five figures. AI chatbots with natural language processing are more expensive, as training them to understand and process free-text inputs is more complex. The total cost is usually in the five-figure range. However, an AI chatbot pays for itself, as it offers a significantly higher level of automation and a better user experience.
When will the costs of a chatbot pay for themselves?
The cost of an AI chatbot usually pays for itself within a few months. From day one, the chatbot reduces direct support costs by automatically answering recurring queries and taking the pressure off staff. As usage increases, so does the level of automation – and with it, the savings. You can calculate your specific return on investment directly using the moinAI ROI calculator.
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