AI agent instead of chatbot: The next step in customer communication [July 2025]
17.07.2025
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What is an AI agent and how does it work?
A AI agent is much more than an ordinary chatbot. While classic chatbots are mostly based on rigid decision trees, an AI agent uses modern technologies such as artificial intelligence (AI) and Natural language processing (NLP), in order Really understand inquiries — regardless of the exact wording.
An AI agent recognizes the Intent behind a message, can be on the Context of a conversation react and Generate suitable answers independently. In doing so, he picks up on a knowledgebase , which may include content from websites, FAQs, product data or PDF documents, for example.
In contrast to rule-based systems, an AI agent can answer correctly even if the question asked Has never existed in exactly this form. This is made possible by the ability to to recognize meanings and connections, instead of just searching for keywords.
Another advantage: The AI agent is constantly learning. Through feedback and new content, he ever more precise and can solve more queries independently. At the same time, it remains controllable — for example through definable response styles, escalation logics and restrictions in certain subject areas.
In combination with an omnichannel platform such as hellomateo, the AI agent becomes a real digital team member: It answers via WhatsApp, Instagram, Webchat, etc., automatically forwards complex cases to employees and ensures consistent, scalable communication — without waiting times.

What exactly distinguishes an AI agent from a chatbot?
At first glance, chatbots and AI agents have a similar effect: both answer customer inquiries automatically and without human intervention. But a closer look reveals serious differences — especially in terms of Intelligence, flexibility, and depth of learning.
A classic chatbot works on the principle of “If A, then B”. It follows predefined rules or decision trees. If a question deviates from the expected pattern, the bot quickly reaches its limits. Typing errors, colloquial phrases, or unusual concerns often lead to inappropriate answers or no answers at all.
A AI agent On the other hand, there is a completely different approach. It not only analyses the surface of a message, but also interprets its meaning. Through natural language processing (NLP), it recognizes synonyms, sentence structure, and context. This makes it significantly more robust and flexible — and therefore much more suitable for real use in customer service. In addition, an AI agent can adapt the tonality of the messages not only to your requirements but also to the user.
An often underestimated advantage of modern AI agents is their ability to integrate. With the right platform — such as hellomateo — AI agents can be easily integrated into existing system landscapes: from CRM to ticket systems to inventory management systems. This enables continuous processes, saves manual work steps and creates a seamless customer experience — without media breaks.
The difference is therefore not only in technology, but in the overall user experience.

How can companies train their AI agent?
An AI agent sounds like high-tech at first — but with the right software, it's surprisingly easy to set up and train. Systems such as hellomateo enable companies to launch their digital assistant, often within a few days. The decisive factor is: What should the AI agent be used for — and what knowledge does he need to do so?
1. Define areas of application
Before the agent can be trained, it must be clear Which requests he should accept. A simple text base is sufficient for many recurring questions. Typical applications include:
- Opening times and location information
- Shipping and return processes
- Information about products or vouchers
- Terms and conditions, contact channels, frequently asked questions
For more complex issues — such as order status or account information — it is worthwhile to connect to CRM, ERP or shop systems. In this way, the AI agent can also process personal or dynamic data automatically.
2. Provide knowledge
The AI agent's “intelligence” is based on the knowledge available to him. The hellomateo system can include the following sources:
- Web page URLs
- PDF documents (e.g. price lists, terms and conditions)
- structured FAQs
- Information about the brand, products, or processes
Thanks to modern NLP technology, the AI agent also understands variably formulated questions — he recognizes the purpose behind the statement and finds the appropriate answer.

3. Set the style and tone
An AI agent shouldn't sound like a foreign system, but like a real part of your company. The setup allows you to configure the following parameters, among others:
- AI agent name and identity
- Title (“you” or “you”)
- language style (e.g. factual, friendly, or relaxed)
- Response length
- Reference to AI-powered communication
This creates a consistent, trustworthy brand experience — from the initial chat to escalation to customer service.

4. Omnichannel usage
With hellomateo, the AI agent does not have to be set up separately for each channel. Once trained, it automatically answers inquiries on all connected platforms — such as WhatsApp, Instagram or Facebook Messenger. All conversations end up in central inbox, which significantly reduces workload and redundancies.
5. Handover to people — seamless and comprehensible
Of course, there are situations in which a person is in demand. Does the AI agent recognize that a request is too sensitive or too complex Does he automatically hand over the chat to a service employee — including conversation history. In this way, the process remains smooth, no information is lost and the customer does not have to explain anything twice.
Conclusion:
Setting up an AI agent is no longer a major project. With clearly defined areas of application, the right knowledge base and a suitable software solution, a trainable, brand-compliant assistant is created in a very short time — ready for real customer interaction, around the clock.
Automate customer communication and marketing with hellomateo's AI agent and many other features
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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