AI in Customer Service
More and more companies are using AI in customer service – from chatbots to ticket triage to response assistants. We show you what's possible, what makes sense for your support – and how to evaluate it yourself.
The Problem
Why traditional support doesn't scale
Wait times frustrate customers
Customers expect immediate answers. Every minute of waiting lowers satisfaction – and measurably increases churn.
Repetitive inquiries
60–80% of all support requests are variations of the same 20 questions. Your team spends time on answers that could be automated.
Growth becomes a bottleneck
More customers = more tickets. Without automation, the support team grows linearly – and costs escalate quickly.
AI Approaches
Three areas you should know about
Other companies are already using these approaches. Not everything fits everyone – but it's worth understanding what's possible and where the biggest lever is.
Intelligent chatbot for common questions
An AI chatbot trained on your FAQs, product documentation, and existing support responses. It answers the most common questions instantly and accurately – 24/7, with no wait time. A great starting point to see what's possible.
- Can handle 40–70% of inquiries without human intervention
- Recognizes when to hand off to a human agent
- Learns from new conversations and improves over time
- Integrates with your website, WhatsApp, Slack, or existing tools
Example dialog of an AI chatbot
Automatically categorized and prioritized
Automatic ticket triage & routing
Incoming tickets are read by AI, sorted by urgency and category, and routed directly to the right person or team. No more manual reading and assigning.
- Detects sentiment, urgency, and topic in seconds
- Urgent cases (e.g. payment issues) get escalated immediately
- Works with email, helpdesk tools, or contact forms
AI-powered response assistant
Your support team stays in control – but AI prepares the groundwork. The assistant analyzes the inquiry, searches your knowledge base, and suggests a fitting response. Your team reviews, adjusts, and sends.
- Can reduce handling time per ticket by 50–70%
- Human stays in the loop – AI suggests, you decide
- Consistent tone and quality across all team members
- Ideal first step – low barrier, immediately noticeable impact
Incoming inquiry
AI suggestion
Industry benchmarks
What other companies are reporting
No guarantees – but benchmark values from the industry that show what's realistically possible with AI in this area today.
40–70%
Inquiries answered automatically
50–70%
Faster handling per ticket
24/7
Availability without night shifts
2–4 wks
From start to first prototype
Our Approach
How we help you get started
We don't deliver a black box. By the end, you'll understand which AI approaches make sense for you, how they work – and you can decide for yourself what comes next.
Gain clarity
You'll understand where AI can make the biggest difference in your support – and where it can't. After that, you can evaluate AI opportunities on your own.
Try instead of speculate
You'll experience what AI can do today through a concrete prototype. No slide deck, but something tangible – and you'll see immediately if it's right for your team.
Continue independently
After that, you can make informed decisions: Is implementation worth it? Which tool fits? What do we need internally? You're no longer dependent on external opinions.
Is this for you?
AI in support is worth exploring if...
Let's talk about your customer service
In a free introductory call, we'll look at your current situation and help you figure out which approach could have the biggest impact. No commitment, 30 minutes.