AI chatbot: Information & setup for companies [June 2025]
04.07.2025
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What makes AI chatbots different from traditional rule-based chatbots?
While rule-based chatbots work according to the “If A, then B” principle, AI-based chatbots rely on real language comprehension — and that makes a huge difference in customer service.
Rule-based chatbots are like digital questionnaires. They only react correctly if the input exactly matches the previously defined rule. Example: Only if a customer exactly “What are your opening hours? “writes, the bot provides the correct answer. Does the wording vary — for example, “Are you also open on Sundays? “— the bot fails.
AI chatbots On the other hand, analyze the meaning behind the question. They use technologies such as Natural language processing (NLP)to recognize the intent — regardless of the specific wording. As a result, they are more flexible, intelligent and significantly more customer-friendly.
Conclusion: AI chatbots aren't simply the “better bots.” They are a completely new approach to digital customer communication. Instead of blunt responders, they take on real service processes — with a sense of language, understanding and efficiency.
How do AI chatbots work?
AI chatbots are based on modern technologies such as artificial intelligence (AI) and Natural language processing (NLP). Unlike classic bots, they do not work with rigid decision trees, but analyze the meaning behind a question. This enables a completely new level of digital customer communication.
A good example is the hellomateo AI chatbot. He not only understands individual words, but entire connections — even when customers formulate their concerns differently.
What an AI chatbot can do
- Understanding natural language: Even if the wording is creative or colloquial.
- Interpreting questions: The AI recognizes what is meant — even if there are typos or incomplete sentences.
- Capture context: Has the customer asked anything before? The bot takes the entire conversation into account.
- Generate answers: Instead of ready-made text modules, the bot creates individual answers.
- Handing over to people: In the case of complex or sensitive issues, the chatbot automatically recognizes when a real employee should take over.
Why company-specific knowledge is crucial
The intelligence of a chatbot depends largely on its knowledge. An AI chatbot becomes really powerful when it comes with individual company knowledge is taught. These include, for example:
- Answers to common customer questions (FAQs)
- Product data and technical specifications
- Content from websites or landing pages
- Documents such as terms and conditions, price lists or shipping guidelines
The better the database, the more precise the answers are — and the more queries the bot can solve independently. Companies thus benefit from a scalable Self-service channel, which is available around the clock, has no waiting times and improves service quality.

Practical examples: An AI chatbot can answer these customer inquiries
A well-configured AI chatbot isn't a gimmick — it's a Service channel with real added value. For this to work, he must targeted at recurring and time-consuming customer concerns be trained. So the question isn't: “What can the AI chatbot do? ”, but: “What should he take over — and what not? ”
Typical customer concerns that an AI chatbot should be able to answer:
- Opening hours: For example, “Are you also open on Sundays? ”
- Shipping & returns: “How long do I have to return an item? ”
- Prices & offers: “Are there any discounts right now? ”
- Product information: “What are the technical details of the Samsung Curved 32-inch monitor?”
- Buying advice:”Which shoes go well with my summer dress?”
- General information: “At which locations do you have branches?”

Thanks to AI, chatbots can answer customer service requests fully automatically, provided the software behind them is of high quality
The AI chatbot should forward these topics to an employee:
- Complex complaints with several sub-steps
- Goodwill or Individual decisions
- Communication with regular customers who have a personal customer relationship is important
- Chats in Sales And when it comes to upsell potential: This requires particularly precise communication
- Emotional conversations where empathy Is in demand
- escalations for dissatisfied customers
Presentation of various AI chatbots
1st: hellomateo AI chatbot
The Omnichannel AI chatbot For WhatsApp, Instagram & Co. is specifically based on B2C customer service laid out. The chatbot is trained with company-specific knowledge and can automatically answer all relevant inquiries — from opening hours to return status. The answers can be individually adjusted, the language style can be defined, and all channels converge centrally in the inbox.
Special features:
- Contextual understanding, no rigid keyword logic
- Involvement own Websites & documents
- handover To real employees when needed
- messenger-ready, GDPR-compliant and can be used immediately
hellomateo is ideal for companies that want to offer scalable, personal customer service on modern channels such as WhatsApp.

2nd: Dialogflow (Google)
A flexible framework for developers to build their own AI-powered chatbots.
advantages:
- Powerful NLP features thanks to Google technology
- Individually adaptable, many API options
Disadvantages:
- No finished UI or inbox — needs additional systems
- Only useful for companies with a development team
- High complexity for simple applications
3rd: Tidio
An all-in-one chat tool with integrated AI chatbot, primarily for smaller online shops and websites.
advantages:
- Easy to use
- Quick start, lots of templates
Disadvantages:
- Limited AI features compared to specialized solutions
- Weaknesses with complex support requests
- The focus is more on website chat, not on messengers
4th: LivePerson
LivePerson provides conversational AI for companies, with a focus on larger support and sales teams.
advantages:
- Very powerful bot engine
- Good analytics and monitoring tools
- Multi-channel capable (including SMS, web, social)
Disadvantages:
- Very high cost structure — especially when used at scale
- Setup and customizing can often only be implemented with external agencies
- Unintuitive operation, complex user interface
How can companies set up an AI chatbot?
An AI chatbot sounds like high-tech — but in practice it is surprisingly easy to set up. With a system like hellomateo AI chatbot Companies are often live in just a few days. Prerequisite: You know What for You want to use the bot — and provide it with the right knowledge.
1. Define areas of application
The first step: Consider which concerns the chatbot should take on. A simple text base is sufficient for many common questions — such as content from your website or existing FAQs.
Typical examples without system integration:
- Opening times & locations
- Shipping and return information
- Static product availability
- Discount promotions or voucher conditions
- General information such as terms and conditions or contact channels
For more complex inquiries — such as the order status or the availability check — is a System connection (e.g. to the CRM or shop system). This also allows personal or dynamic content to be answered automatically. Integration is not a must, but it offers clear added value.
2. Provide knowledge
The chatbot's intelligence depends on what you feed it. In the HelloMateo system, you have a knowledgebase available. Here you can store everything that the bot needs to answer questions:
- Web page URLs
- PDF documents (e.g. terms and conditions, price lists, data sheets)
- Questions & answers to common concerns
- Company description, brand info, shipping details, etc.
Thanks to modern NLP technology, the chatbot recognizes the intention behind a question — even if it is formulated in a completely different way than in the training material.
Optionally, the system can also be linked to your internal software solutions. This makes it possible, for example, to display orders, customer data or bonus points in real time.
3. Set style & tonality
A chatbot should feel like part of your brand—not a generic assistant. For this reason, the following can be individually adjusted in the setup:
- Chatbot name (e.g. “hellomateo assistant”)
- Salutation form: “They” or “You”
- Speech style: objective, friendly, relaxed — depending on the target group
- Response length: short and concise or explanatory in detail
- Transparency notice: Would you like to indicate that an AI is responding?
These settings make for consistent communication that feels familiar — and not like a cold autopilot.

4. Set up once — use anywhere
A big advantage of the hellomateo AI chatbot: It is completely cross-channel usable. Regardless of whether your customers write via WhatsApp, Instagram or Facebook — the chatbot reacts automatically everywhere.
All inquiries come together in the central inbox. This saves you the hassle of setting up per channel — and at the same time guarantees consistent answers across all platforms.
5. Handing over to people — if necessary
Of course, even the best AI can't take over everything. If the chatbot recognizes that it is a sensitive or complex topic, the chat is automatically handed over to a real employee — including the course of the conversation.
This means that no information is lost, the customer doesn't have to explain anything twice — and the service experience remains consistently positive.
hellomateo has much more to offer than just an AI chatbot
With hellomateo and the WhatsApp Business Platform companies can inspire their customers with customer communication and marketing, maximize their sales and minimize internal workload. integrations with thousands of other software applications, WhatsApp newsletter marketing, unlimited scalability and flexibility, automatic responses, GDPR compliance, etc. — the WhatsApp Business Platform has so much to offer. Just arrange a free consultationto find out all the details Our customers know the following benefits particularly appreciated:

- Central user interface: hellomateo combines WhatsApp Business Platform, email, Instagram, SMS and Facebook Messenger in one central inbox. The intuitive user interface includes various tools for efficient customer communication and saves you valuable working time.
- integrations: With hellomateo, you can use WhatsApp in integrate over 6,000 software programs and fully automated Customer trips create with invitations, order confirmations, shipping information, invoices, and reminders.
- Newsletter marketing: Send GDPR-compliant Newsletter via WhatsApp or SMS and benefit from opening rates of over 95%.
- Assessment management: hellomateo can Automatically request online reviews from your customers, which boosts your Google ranking and trust in your company.
- Data protection: hellomateo meets all German and European Data protection requirements and offers end-to-end encryption for secure customer communication.
- scalability: Our software is suitable for Businesses of all sizes and can be extended indefinitely depending on the package.
- Diverse AI features: Our AI agent can automatically answer customer inquiries in chat, answer calls, help with the formulation of messages and much more.
Arrange a non-binding and free consultation and we'll show you how hellomateo covers your communication needs! Simply book an appointment here or write to us via our web widget.
About the author

Domenik Fox
CEO and Co-Founder
Domenik Fox is co-founder and CEO of hellomateo. He is responsible for Customer Success, Customer Engineering, Finance and Product. A particular focus of his work is on the continuous development of the product and the design of new features. In terms of content, he focuses primarily on automated and personalized customer communication, multichannel marketing and digital customer journeys. Together with Christian Strauch and Philipp Steinrötter, he is continuously developing hellomateo into a central platform for modern customer experience in SMEs.
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