AI training for customer service: every reply in the right tone, fast
Full day (about 7 hours) Up to 10 people On site in Istanbul or online 49.900 TL + VAT
Customer service
What is this program?
AI training for customer service is a full-day, hands-on program in which support, call center and customer experience teams learn to use ChatGPT and Claude on their own real requests for classifying incoming requests, drafting replies, handling complaints, multilingual communication and customer review analysis. Human approval on every reply that reaches a customer is the rule.
A customer service team's day is spent on replies that repeat but each need a different tone. Even when the same question arrives for the tenth time, the customer expects an answer as if asking for the first time. This is exactly where AI is useful: it pulls the right answer from the knowledge base, adjusts the tone to the customer's language and situation, and the agent checks and sends.
This program is not a chatbot setup. It helps the team do what it does today faster and more consistently. If a recurring process is really to be handed over, that is a separate program. Here a person stands behind every reply.
Who is it for?
Support and call center agents
Those who write replies to dozens of emails, WhatsApp and social media messages every day.
Customer experience managers
Those who want to standardise reply quality, tone and response time.
E-commerce and service businesses
Support teams of businesses with heavy order, return, appointment and complaint traffic.
Program flow: six modules
Talking takes at most a fifth of the day. The rest is hands-on production on your own files, each module ending with a piece of real work.
Customer data and the reply rule
Under which conditions customer information may enter a tool, anonymisation and human approval on every reply that reaches a customer. The first module of the program.
Generating replies from the knowledge base
Giving the company's FAQ, policy and product documents to the tool as context. Reply drafts with correct information in the company's tone.
Request classification and prioritisation
Classifying incoming messages by topic, urgency and sentiment, deciding which request is answered first.
Complaints and difficult customers
A calm, solution-focused reply to an angry message, the language of compensation and apology, escalation when things heat up.
Multilingual support
Correct and natural replies to foreign customers in their own language. Translation checks and cultural differences in tone.
Review analysis and reporting
Extracting recurring problems from customer reviews and support logs, a weekly insight report for management.
Real work scenarios
The kind of tasks the day is built around. Yours replace these after the discovery call.
60 messages in the morning queue
Classifying the messages by topic and urgency and drafting replies to the first 10.
A return policy question
A clear reply specific to the customer's situation, with correct information from the company policy.
A public complaint on social media
A calm, solution-focused reply that suits the brand to a complaint everyone can see.
An English and an Arabic customer
Delivering a reply prepared in Turkish naturally in the customer's language.
Weekly complaint report
A summary for management of the 5 most frequent problems and their root causes from support logs.
New reply template set
A bank of tone-adjusted, up-to-date templates for the 20 situations the team meets most often.
Tools used
Skills come before tools. The current model comparison with prices is on the AI models page.
What the team leaves with
- A context flow that generates replies from the company knowledge base
- A method for classifying and prioritising requests
- A bank of tone-adjusted reply templates for the 20 most frequent situations
- Reply rules for difficult customers and complaints
- A method for producing a weekly insight report from reviews
Format and what is included
- Discovery call: your industry, the team's daily work and the three targets of the day
- Content built on your own files, not a generic slide deck
- Full day (about 7 hours) hands-on, on site in Istanbul or online
- Team playbook with everything built during the day
- 30 days of Q&A support after the training
- Certificate of participation
Scopes beyond the standard package (more than 10 people, several locations, half-day or multi-day formats, integration work) are quoted separately.
The same standard package for every program.
How it works
15-minute call
We talk about the team, the work and whether this program fits. No commitment.
Discovery and preparation
A short session with the team lead. The day is built on your real tasks.
Training day
Everyone on their own laptop, on their own work, the whole day.
30 days of support
Questions that come up while actually using AI at work get answered.
Your trainer
Sefa Aydın
AI trainer and consultant. Years of producing design, advertising and software for the Türkiye projects of world-renowned luxury brands, founder of the agency Rebel Co. Group. I use these tools on real client work every day, and I teach what I use.
About me →Frequently asked questions
Is this training a chatbot setup?
No. The program teaches the team to do what it does today faster and more consistently with AI, and a person stands behind every reply. If part of the incoming requests is really to be handed to AI, that is a separate program and is covered in the AI agents training.
Can customer information be entered into AI?
Yes, by the rules. The program teaches anonymising customer names, order numbers and personal details, and using a corporate account. Which information is never entered is put into a written rule.
How much does AI training for customer service cost?
The standard package is a full day for up to 10 people at 49,900 TL plus VAT. The discovery call, content preparation based on the company's knowledge base, a team guide and 30 days of Q&A support are included. Split sessions for shift-based or larger teams are scoped by proposal.
Will the replies sound like a robot?
They will if AI is used without context. The first job of the program is to teach the company's tone and knowledge base to the tool. The output is a draft and the agent adds the final touch. The aim is to gain speed while keeping the tone.
How is the training run for a shift-based team?
Two half-day online sessions or a repeated full day for two separate groups can be arranged. The scope is set in the discovery call.
Does it integrate with our support software?
The program is tool training and does not include integration. It shows how to work with your support software by copy and paste or export. Integration is a separate scope.
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Last updated: 14 September 2026
Request a proposal for your team
Tell me the team size and what you want to solve. I reply the same day.