AI-Powered Customer Support

AI in Customer Service — Faster, More Consistent, More Scalable

Answering recurring inquiries, completing appointments or processes directly, cutting response times to seconds, and freeing up your team for the cases that truly require experience and empathy — that is AI in customer service in practice.

Why AI Makes Sense in Customer Service

The same questions about prices, opening hours, products, and order status — again and again, across all channels. Support teams spend a significant part of their time giving answers they've already given a hundred times. At the same time, customers wait for a response even though the answer has long been stored in the knowledge base.

AI can take over these inquiries, respond immediately, and free up the team for the cases that truly require human judgment. The result: shorter wait times for customers and more capacity for the tasks where your team makes the biggest difference.

Concrete Benefits

Instant Response Time

Answers in seconds instead of hours — regardless of request volume.

24/7 Availability

Support is active even at night, on weekends, and during holiday periods.

Consistent Quality

No daily fluctuation, no mood issues — every answer from the same foundation.

Escalation When Needed

Handover to your team for complex or sensitive inquiries.

How AI in Customer Service Works with Zentor App

The process is clearly structured and transparent for your team:

  1. 1. Request Comes In: The customer asks a question or raises a concern — via webchat, WhatsApp, Telegram, SMS, email, or telephony via the Zentor SIP-Voicebot.
  2. 2. AI Chatbot Responds: The AI assistant accesses your knowledge base and gives a precise, consistent answer.
  3. 3. Knowledge Base: FAQ, pricing information, product details, and process documents form the basis of every answer.
  4. 4. Handover When Needed: If the bot can't help or the customer requests a team member — seamless handover with the complete conversation history.
  5. 5. Omnichannel Inbox: Your team sees all conversations across channels in one central interface and handles them efficiently.

Typical Tasks for AI in Customer Service

AI reliably and instantly handles these recurring tasks:

  • Opening hours questions
  • Pricing and rate information
  • Product availability
  • Order status inquiries
  • Booking and confirming appointments
  • Answering FAQs
  • Requesting a callback
  • Handling changes and cancellations

AI Customer Service as a Controllable Process: SLA, Escalation, Reporting

AI in customer service is not a single feature, but a process that can be measured and controlled. Three building blocks make the difference between "a bot answers questions" and a resilient service operation:

Response Times & SLA

While AI answers standard requests in seconds, response and processing times can be defined for handed-over cases. This keeps the human part of the service measurable too — instead of getting lost in the inbox.

Escalation Levels

Not every case is the same: a clearly defined escalation determines when the AI responds itself, when it hands over to the team, and when a case must be prioritized — by category, sentiment, channel, or keyword.

Reporting & Metrics

What share is resolved automatically? Which topics lead to handover? Where do wait times arise? Analyzable conversation data makes it visible where the process runs well and where it needs improvement.

Plans and Pricing

Demo
€0 / 14 days
AI chatbot, webchat, with Zentor branding
Starter
€49/month
AI chatbot, webchat, 1 domain
Custom
up to €899/month
Omnichannel, WhatsApp/Telegram/SMS, automations, on-premises, SSO — freely configurable

One-time setup: €0 (Demo), €49 (Starter), or up to €399 (Custom). All prices final under §19 UStG — no VAT charged. Go to the full pricing overview

Frequently Asked Questions About AI in Customer Service

Can AI answer all customer inquiries?+

Simple, frequent inquiries — such as opening hours, prices, or product availability — are answered reliably and instantly by AI. For complex, emotional, or highly individual cases, handover to a human team member remains important. A good AI customer service system combines both.

How does the AI get to know my company?+

Via the Zentor App knowledge base. You maintain your FAQ, product information, prices, and relevant process documents there. The AI assistant draws on this foundation for every customer inquiry and answers questions based on your own content — not on general internet data.

What happens if the AI can't answer a question?+

The chatbot hands the conversation over to your team (handover). The team member sees the complete conversation history and can pick up right where the AI left off — no dead end for the customer, no loss of context for the team.

Is AI in customer service GDPR-compliant?+

Zentor App processes conversation data in an EU-compliant manner. Consent, a data processing agreement (DPA), and EU hosting are configurable. We recommend adapting your privacy policy accordingly before deployment.

How fast is AI compared to email support?+

AI responds instantly — typically in under a second. Classic email support typically has response times of hours to days. For frequent standard requests, this means: the customer gets their answer immediately, without having to wait for processing.

Which industries is AI customer service suitable for?+

For nearly every industry with recurring customer inquiries: retail, service providers, real estate, automotive, trades, online shops, and many more. Wherever the same questions are asked again and again, AI provides immediate and noticeable relief.

AI Customer Service for Your Business

Try Zentor App in the demo or talk to us directly — we'll show you how AI customer service works concretely in your business.