Use Case

AI in Customer Service

Your support team answers the same questions every day? Tickets pile up, customers wait, staff get frustrated? AI can help change that – without sacrificing quality.

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 levers that can make an immediate difference

No all-or-nothing. These building blocks can be introduced individually and combined step by step.

Approach 1

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
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Yes please!

Example dialog of an AI chatbot

Payment issue – account locked Urgent
Feature request: Dark Mode Product
Question about API integration Technical
Positive feedback on latest update Feedback

Automatically categorized and prioritized

Approach 2

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
Approach 3

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

"Hi, I ordered last week but the tracking hasn't updated in 3 days. Can you help?"

AI suggestion

"Hello, thank you for reaching out. I found your order #12847 – according to the carrier, there's currently a delay at the distribution center. The estimated delivery is Thursday. Would you like me to notify you once the status changes?"
Order data automatically linked · Delivery status checked live

Typical Results

What's realistically possible

No exaggerated promises. These ranges are based on what we've seen in real projects with small and mid-sized businesses.

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 just build a chatbot and disappear. By the end, you'll understand how the solution works – and your team can take it from there.

1

Analysis

We look at your current ticket volume, most common inquiries, and existing tools. Together we identify where the biggest quick win is.

2

Prototype

We build a working prototype and test it with real inquiries. You give feedback, we iterate – and you see exactly how the AI works under the hood.

3

Handover

You get everything: the prototype, the documentation, and the understanding. Your team can operate and evolve the solution independently.

Is this for you?

AI in support is worth exploring if...

You regularly answer the same questions
Your ticket volume is growing faster than your team
You want support availability outside business hours
Response quality varies depending on the agent
Support costs are a growing line item
Your team should focus on the complex cases

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.