Examples
Eight examples of AI in customer service, from chat replies to voice agents. Each shows what the AI does and what a person still handles.
Updated 5 min read
The short answer
Examples of AI in customer service include chat and email replies, voice agents, ticket routing, agent assist, self-service search and order status checks. Every example splits the work: AI takes the routine request, people take the hard ones with full context.
Key points
Examples
Results appear only where they come from a client project or a published source.
SaaS support
An assistant trained on past tickets answers routine questions and hands complex cases to a person with full history.
85%of Tier-1 inquiries resolved
Read the case →Payments
Klarna's assistant handled 2.3 million conversations in its first month, about two-thirds of its service chats, in 23 markets.
2 minto resolve, down from 11
Phone support
A voice agent takes the call, qualifies the caller and books the next step. When needed, it escalates to a person and leaves a ticket behind.
Read the case →Helpdesk
AI reads each incoming message, tags the topic and urgency, and sends it to the right queue so nothing waits in a shared inbox.
Support team
AI suggests replies and surfaces the right help article while a person types. The agent edits and sends.
14%more issues resolved per hour
E-commerce
A bot checks the order system, shares tracking details and starts a return, handing off only when a rule is not met.
Read the case →Help center
Instead of listing articles, AI reads the help center and replies in one short answer with the source linked.
Sales support
AI answers new inquiries by SMS, email or voice call day or night, so no question sits unanswered.
20 secto first contact
Read the case →Customer asks
A message, email or call arrives.
AI reads it
It finds the topic and the answer.
AI replies
It answers or takes the action.
Person steps in
Complex cases go to a human.
Most customer service automation examples share one pattern: the AI reads a request, finds the answer in your own material, and acts or hands off.
The same pattern works across channels. Chat, email and phone all feed one set of rules and one shared record.
Drafted replies
AI writes, an agent approves.
Thread summaries
Long histories become short notes.
Clarifying questions
The assistant asks before it answers.
Translation
Replies match the customer's language.
Generative AI customer service examples include drafted replies, summaries of long threads and rewritten help articles. A person reviews what matters before it goes out.
An example of conversational artificial intelligence is a support assistant that holds a back-and-forth chat, remembers the earlier messages and asks a clarifying question.
Among generative AI use cases in customer service, personalization is common. Per IBM, 66% of customer service managers optimizing AI use generative AI to increase personalization.
Customer service chatbot use cases are the simplest place to start: order status, opening hours, password resets, returns and booking changes.
For a closer look at the tool, see our AI chatbot page, and the wider set of AI use cases across business functions.
Fear of AI service
Good AI service
Good AI customer experience examples cut the wait without hiding the people. Customers want speed and a way out.
The surveys are clear. Most Americans still want a person available: 79% would much rather deal with a human than an AI agent, and 89% want companies to offer one, per SurveyMonkey.
Gartner found 64% of customers would rather companies did not use AI in service.
The lesson is design, not avoidance. Put AI on the routine questions and make the handoff easy. Our AI in customer service guide covers the wider picture.
Per PwC, 57% of companies are using or planning to use agents in customer service within six months.
By 2027, half of service cases could be resolved by AI, against 30% in 2025, Salesforce projects. Gartner expects agentic AI to resolve 80% of common issues by 2029.
These are forecasts from vendors and analysts, not promises for any one company.
Our data
We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI customer service. They named 101 companies, and 79% appeared in only one of the three.
| Criterion | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| Companies named | 40 | 38 | 51 |
| Sites cited most | zendesk.com (5 of 10) | botpress.com and gartner.com (5 of 10) | sobot.io (6 of 10) |
Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 7 companies appeared in all three. Google showed an AI Overview for 8 of the 10 questions.
FAQ
Final step
You leave knowing which processes to automate first and what each one costs you today, whether we work together or not.
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Before
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On the call
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Decide
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Once you book, we look at your site and tools before the call, so the 30 minutes go to your numbers, not introductions.
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