AI customer service: All information for companies [July 2025]

04.07.2025

6 Min. Lesedauer

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Domenik Fox
Domenik Fox
CEO and Co-Founder

AI in customer service It is no longer a trend — but meets the expectations of your customers. Customers want answers in seconds — around the clock, across all channels away. Precisely, personally and reliably.

This is exactly where modern comes in AI customer service to: Intelligent chatbots that understand conversations React contextually and automatically hand it over to the right contact person when required.

The result? Less effort, better customer experiences — and a service that really keeps up. And since not many companies, particularly SMEs, offer AI customer service yet, this is a real opportunity to set yourself apart from the competition!

Summary — The most important facts at a glance

  • Customers expect excellent customer service and quick, accurate answers — around the clock, across all channels.
  • Artificial intelligence in customer service relieves support teams and improves the customer experience.
  • AI chatbots understand the context, analyze speech and answer even complex questions automatically.
  • Ideal for recurring inquiries such as opening times, returns, availability or product information.
  • Personal concerns, complaints or emotional issues should continued to be cared for by people become.
  • Die furnishings succeeds in few steps — including knowledge development, tonality adjustment and channel integration.
  • Optional: By Integration with CRM or ERP systems Order and customer data can even be retrieved.
  • With hellomateo, AI customer service is running Chatbot centrally across all messengers — no separate setup required for each channel.

Why should companies use AI customer service?

The key difference to conventional automation solutions lies in the understanding: AI systems don't just analyze speech, they interpret it. They recognize connections, understand unstructured formulations and derive appropriate answers from them.

Instead of rigid rules, the AI customer service a dynamic approach. It processes input like a human employee: recognizes concerns, asks questions, evaluates priorities and reacts to the language style. Methods such as natural language processing (NLP), machine learning and semantic analyses make this possible.

A practical example:
A customer writes “I ordered a week ago but didn't receive anything. ”
An intelligent System recognizes:
— It is about a shipment.
— The period of “one week” indicates a possible delay.
— It either needs a Package tracking or an escalation to shipping.

If the AI chatbot in customer service is connected to the CRM or ERP system through appropriate software integration, it can in this case not only generate the appropriate answer, but also query the shipment status and provide concrete feedback — without the need for human intervention.

The result: Less waiting time, higher initial resolution rate and a service experience that is impressive. A real unique selling point for your company!

Fähigkeiten von AI-basierten Chatbots
AI chatbots are perfect for customer service because of their extensive capabilities

Which service requests can AI answer in customer service?

A well-used AI customer service is much more than just a technical gimmick. It is a strategic service channel that works where standard processes unnecessarily bind people — and at the same time precisely meets customer expectations.

The central question is therefore not: What can artificial intelligence do?
But: Which tasks should be automated — and where do people need them?

artificial intelligence is ideal for all inquiries that occur frequently, are clearly structured and rely on existing data. These include, for example:

  • 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?”

Screenshot AI-Agent im Kundenservice
Thanks to AI, service requests from customers can be answered fully automatically, provided that the software behind it is of high quality.

Topics that AI should pass on 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

How does setting up AI customer service work for companies?

The path to automated customer service doesn't have to be complicated — provided that the right conditions are in place. With a powerful system such as the hellomateo AI agents companies can go live in just a few steps and achieve real relief in support.

The system works entirely via the existing omnichannel infrastructure: All messenger requests are collected centrally in the inbox — regardless of whether via WhatsApp, Instagram or Facebook. There is no need to set up per channel, because the AI agent automatically answers where your customers write.

QR-Code zum KI-Agenten
Also via chat With hellomateo, is there an AI agent in customer service. Just scan the QR code or click and try it out

Step 1: Define areas of application — with and without system integration

Before using AI customer service, it is important to identify the right topics. It is worthwhile to differentiate between two categories:


Without system integration — can be implemented directly

These topics can be answered purely on the basis of text modules, web content or documents:

  • Opening hours and contact information
  • return processes and shipping conditions
  • Product information and availabilities (if static)
  • Voucher campaigns and discounts
  • sites, Impressum, Terms and Conditions, FAQs
  • General Help and information questions


With system integration — for maximum automation

Dynamic or personal information requires a connection to existing software (e.g. CRM, ERP, shop system). With this integration, AI can, for example:

  • Den Check order status
  • One shipment tracking providing
  • Update customer data
  • Live availabilities vet
  • Loyalty points or voucher balance view

These deeper integrations are optional — but a clear competitive advantage when it comes to real-time service and personalized answers.

Step 2: Build knowledge — at the heart of AI

hellomateo AI-Agent Wissensdatenbank
All important information can be stored in the hellomateo AI agent knowledge database

For all topics without a system connection, AI is trained with structured knowledge. The following sources are available for this purpose:

  • Questions & answers too common concerns
  • Web page URLswhose content is automatically collected
  • PDF documents, terms and conditions, product data sheets
  • company profile with basic information

The goal: The AI should provide suitable answers even if the question is not formulated exactly as in the training material. This is made possible by modern language processing (NLP), which recognizes meaning and intent — not just individual words.

Optional: integration into your system landscape

Who even more from his AI customer service wants to get out, can optionally connect the AI agent with internal systems — such as CRM, ERP or shop solutions. This turns a smart responder into a digital front desk with direct access to real-time data.

Once set up, it allows even complex, personalized inquiries to be answered automatically — precisely, securely and without media disruption.

Step 3: Personalize communication — define style & tone

Persönlichkeit des KI-Agenten ist einstellbar
The personality of the AI agent is adjustable

Various elements can be adapted to make the chatbot fit the brand:

  • Name of the bot (e.g. “hellomateo AI assistant”)
  • Salutation form (“you” or “you”)
  • Response length (concise or explanatory)
  • Speech style (friendly, factual, relaxed, etc.)
  • Transparency notice: Want to flag AI-generated responses?

The result is customer service that not only feels automated, but also feels natural and familiar.

Step 4: Seamless use across all messenger channels

The AI agent is fully integrated into the hellomateo omnichannel platform. This means that you don't have to manually set up individual messengers such as WhatsApp or Instagram — the bot is directly available on all connected channels.

No matter where the request comes from — it ends up in the central inbox and is automatically processed by the AI agent.

This not only makes setup easier, but also ensures consistent answers across all platforms.

Step 5: Escalation when needed — handing over to humans

If the AI is unable to provide a suitable answer or a sensitive issue is identified, the system automatically transfers it to a human service employee — including all previous chat content.

In this way, the conversation is retained, the customer does not have to repeat himself and the service experience remains consistently positive.

Even if an employee has to answer the message manually for individual reasons, the AI helps with hellomateo: With another feature, the AI helps with the formulation of messages.
All information in the video:

More than just customer service: customer loyalty, marketing and automation with hellomateo

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 Do the following know benefits particularly appreciated:

Auflistung der Vorteile der WhatsApp Business Platform
  • 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.

More about the author

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