AI for customer service
AI for customer service: phones, chat, email and ticket triage
AI helps a customer service team by answering every call, chat and email straight away from your own policies and records, and passing the hard cases to a person with the context attached. Native builds voice and text agents inside your phone and ticketing systems. At Topgolf Oberhausen, the voice agent answered every inbound call, up from about 40%.
Featuring insights fromShaun Devan · Founder & CEOUpdated · 3 min read
Where AI has an impact in customer service
Voice receptionist
Every call answered in natural speech, with bookings and common questions handled on the spot.
Chat support
Website and app chat answered from your own knowledge and the customer's record.
Email replies
Routine emails answered, and the rest drafted for a person to send.
Ticket triage
Each ticket classified, prioritised and routed with a one-paragraph summary.
Order and booking status
Status questions answered straight from the system of record.
Warm handoff
Complex contacts passed to a person with the history, so nobody repeats themselves.
Knowledge refresh
The agent's knowledge rebuilt on a schedule from your site and documents.
Quality review
Every conversation logged and scored, so trends and gaps surface weekly.
The cost of the unanswered contact
Service teams are sized for an average day and overwhelmed at the peaks. Calls ring out at lunch, chats wait, and the email queue grows overnight. Most of those contacts ask the same few questions, about hours, availability, order status or policy, and each missed one is a customer who goes elsewhere.
Agents answer every contact immediately and resolve the routine ones. People take the complaints, the judgement calls and the conversations that need a human voice.
| Work | Agents | Service team |
|---|---|---|
| Inbound calls | Answer at once, handle bookings and common questions | Take transfers with the context attached |
| Chat and email | Reply from the knowledge base and account record | Handle escalations |
| Ticket triage | Classify, prioritise and route with a summary | Work the queue |
| Refunds and exceptions | Gather the facts and draft the response | Decide |
| Knowledge base | Refresh from your site and documents on a schedule | Own the policies |
Where to start
- The phone line at peak hours. A voice agent picks up every call, which is where the most contacts are lost today.
- Ticket triage. Every incoming email or form classified and routed with a summary, so agents and staff start with context.
- Order and booking status. Answered from the system of record, without a person looking it up.
- After-hours coverage. Customers get an answer at night, and the morning queue holds only what needs a person.
Answers stay grounded and current
A service agent is only as good as what it knows. At Topgolf Oberhausen the venue's site and documents are ingested every night, and new content is written before old content is removed, so the knowledge base is never empty. Agents answer from that store and the customer record, never from general knowledge, and every conversation is logged.
Agents connect to the tools you already run, such as Zendesk, Freshdesk, Intercom, Salesforce Service Cloud or your phone provider. When a call needs a person, it transfers with the caller's details and the conversation so far.
What an engagement looks like
We listen first: recordings, ticket exports and the questions your team answers most. That sets which contacts an agent should resolve and which should reach a person. The first channel, usually the phone or the email queue, goes live within weeks, and within months every channel runs with agents in front. Your team is trained to update the knowledge and the escalation rules.
How to measure it
- Answer rate on inbound calls
- Share of contacts resolved with no person involved
- Time to first response by channel
- Transfers that reach a person with full context
- Customer satisfaction on agent-handled contacts
Case study · Topgolf Oberhausen
Topgolf Oberhausen answered every inbound call, up from about 40%.
Native helped the venue put an AI voice receptionist on its phone line. It picked up every call, handled 5,000+ a month, and needed no extra staff.
Frequently asked questions
How can AI help a customer service team?
AI answers calls, chat and email immediately, resolves the routine questions from your own knowledge and records, and triages the rest to the right person with a summary. The team spends its time on the contacts that need people.
Can an AI voice agent answer our phones?
Yes. A voice agent picks up every call in natural speech, handles common requests and transfers complex calls with context. At Topgolf Oberhausen it handled 5,000+ calls a month and resolved about 75% with no human.
Will customers know they are talking to AI?
They should, and we build agents that say so. Customers mostly care that they get a fast, correct answer and can reach a person when they need one.
How does an AI support agent avoid giving wrong answers?
It answers only from your knowledge base and the customer's record, which are refreshed on a schedule. If it cannot find the answer, it hands the conversation to a person instead of guessing.
What customer service channel should we automate first?
Usually the one losing the most contacts today. For venues and clinics that is often the phone; for online businesses it is the email or ticket queue.
