In-house training · 1.5 hours or half a day · using your own tool
AI training for customer service and after-sales support
On Copilot, ChatGPT, Claude, Gemini, Mistral, or your internal assistant: your advisors and customer service technicians can find the right answer in your documentation more quickly, write accurate and empathetic responses, handle complaints, and turn customer feedback into action. They focus on your real-life situations, never your customers' data; the relationship remains human.
Bristol Myers Squibb : from 20% to 72% regular use of AI in four waves Agirc-Arrco : sessions rated up to 9.5/10 4,850 trained professionalsAverage satisfaction rating of 9,4/10
Starting from €1,300 excluding VAT per half-day · Written proposal within 24 working hours, without obligation.
The training in brief
Who trains customer service and after-sales service teams in generative AI? NextStart.AI, a generative AI training organization based in Paris (registered activity no. 11756140675), provides training for advisors, after-sales service technicians, supervisors, and customer relationship managers in 1.5-hour or half-day sessions for up to twelve participants, using the tool validated by your IT department (Copilot, ChatGPT, Claude, Gemini, Mistral, or an internal assistant). The program includes: searching the knowledge base and procedures, responding to emails and complaints, after-sales service diagnostics, summarizing tickets and voice of the customer, with verification of each response. The cost is €1,300 to €1,800 excluding VAT for a half-day session. 4,850 professionals have been trained, with an average satisfaction rating of 9,4/10.
Everything you need to make a decision, in ten lines. The objectives, process, and use cases are below.
- What it is
- A customized training in generative AI For customer relations: a maximum of twelve participants, each at their own computer, working on typical requests from their own department. No lectures or demonstrations: 70% hands-on practice.
- What we work on there
- Your requests, procedures and complaints The advisor's tasks include: finding the correct answer in the documentation, writing a clear and empathetic response, handling a complex complaint, preparing a customer service diagnosis, summarizing a ticket history, and analyzing verbatim comments. The advisor retains control over each response sent.
- For who
- The teams customer service, after-sales service, support and customer relations Advisors, technicians, supervisors, service quality and customer experience managers. All levels, including employees who have never opened the tool.
- Duration and rhythm
- 1 hour 30 minutes or half a dayAvailable all at once or in waves of short sessions to create a full tray without interrupting service. Also available as a webinar.
- Where and in what language
- At your premises anywhere in France, or remotely. French or English.
- Price
- €1,300 to €1,800 excluding VAT Half-day sessions for up to twelve participants, with a sliding scale of prices when sessions are repeated. See our price benchmarks.
- On which tool
- Yours: Copilot, ChatGPT, Claude, Gemini, Mistral or your ticketing system's assistant. We provide training within your environment, without the need for third-party tools.
- Funding
- Eligible for OPCO and ESF+ funding. NextStart is a registered training organization (No. 11756140675): the session is part of your skills development plan, with the agreements and documents expected by your funder.
- Lead time
- Written proposal within 24 business hours, without obligation, after a 30-minute framing exchange.
- With Copilot Premium
- If your procedures are in SharePoint or Confluence, see also our module Copilot on your documents and procedures.
Why train your customer service and after-sales teams in generative AI?
Customer service can respond faster and more accurately without losing what makes it valuable: the listening, judgment and decision-making of the advisor.
Scattered information
Procedures, product sheets, technical notes, ticket histories: the right answer often exists, but it takes too long to find it.
Written responses in quick succession
Emails, messages, intervention reports: a large part of the time is spent writing, reformulating and adapting the tone to each client.
Plausible but incorrect answers
A fabricated guarantee, an outdated procedure, or an approximate timeframe binds the company. Every response must be based on a verified source.
Customer data to protect
Contact details, contracts, history and complaints are personal data: authorized tools and clear rules are essential.
How we prepare for the session with your department manager
The content, examples and tools are prepared with your subject matter expert before the session.
Feasibility study
Gathering information on needs, channels used, most frequent reasons for contact, participant level and your constraints.
Customization
Adaptation of the process and exercises to your products, procedures and response models, then validation with your organization.
Training
Participatory facilitation, guided practical application and distribution of educational materials.
The program, hour by hour
A balance designed to understand, practice and then secure the uses in your service.
Schedule for the half-day (3 hours 30 minutes)
- 0:00 to 0:20 Fundamentals of generative AI applied to customer relations: what the tool can do based on a knowledge base, and what it should never do on its own: promise a goodwill gesture, invent a guarantee, resolve a dispute
- 0:20 to 0:40 : familiarization with the tool chosen by your IT department, structure of a prompt for a customer response, requirement to cite the procedure or source document
- 0:40 to 2:40 Workshops tailored to your specific situations, such as finding the right procedure for a customer service case, responding to a complex complaint, summarizing a long ticket history before escalation, and analyzing a batch of verbatim comments, including building prompts and a reusable response assistant.
- 2:40 to 3:10 : presentation of completed work, cross-review of responses, verification of engaging information and tone
- 3:10 to 3:30 : biases and limitations, personal customer data, GDPR, Article 4 of the AI Act and drafting your internal usage rules
The 1 hour 30 minute format follows the same tight structure: 20 minutes of fundamentals, 55 minutes of workshop on two chosen cases, 15 minutes of usage framework.
Customer service and after-sales service situations that we can work on
The exercises are selected according to your priorities, channels, and products.
Find the right answer
- Query the knowledge base and procedures
- Get a sourced answer
- Identify an obsolete procedure
- Compare two contradictory records
Write the answers
- Reply to an email or message
- Adapt the tone to the customer and the channel
- Simplify a technical explanation
- Translate an answer into another language
Complaints and dissatisfied customers
- Responding to a complex claim
- Prepare for a delicate call
- Suggest resolution options
- Write a response to an online review
After-sales service and diagnostics
- Structuring a diagnosis based on symptoms
- Rediscover a method of operation
- Write an intervention report
- Prepare for an escalation to the expert
Tickets and climbing
- Summarize a long ticket history
- Classify and prioritize requests
- Write a transmission note
- Prepare a standard answer for approval.
Voice of the customer and improvement
- Analyze verbatim comments and satisfaction surveys
- Identify recurring irritants
- Write a FAQ based on the requests
- Develop an improvement plan
Concrete examples of use cases for customer service and after-sales service
Operational resources from the NextStart library to extend training.
Responding to a complex claim →
An empathetic, compliant and precise response, with options for resolution.
Sourced customer response assistant →
Answers supported by your knowledge base, with the source cited.
Transforming the voice of the customer into an improvement plan →
Analyze tickets and surveys, quantify pain points and prioritize actions.
Transforming verbatim comments into insights →
Group feedback by needs, pain points, and opportunities.
Analyze a non-conformity to its root cause →
For recurring breakdowns and defects reported by customer service.
Create a FAQ from a document corpus →
Short, sourced answers, categorized by theme.
See the library's customer support pages →
Across all professions: 113 AI prompts per profession, 55 missions Claude Cowork et 69 AI agents and assistants.
Your customer data does not leave your environment
Contact details, contracts, history, complaints: customer data protection governs the entire system.
The exercises are based on your real-world situations, never on your customers' data. We build the practical cases with your designated contact person using anonymized or reconstructed examples, and we work within the environment approved by your IT department: Copilot Chat, Copilot M365, ChatGPT (Enterprise or Azure OpenAI), Gemini, Claude, Mistral, the assistant integrated into your ticketing system, or a locally installed solution. No customer data is transmitted to a public model during the session. The final part of the training is dedicated to GDPR, the AI Act, and the development of your internal usage rules, so that each advisor leaves knowing precisely what they can submit to an AI tool and what they should never submit.
Copilot M365
Claude
ChatGPT
Gemini
VibeReferences and feedback
Some examples of interventions and feedback from NextStart.AI training courses.
Bristol Myers Squibb237 participants
Agirc-Arrco650+ participantsAlptis450 participants
Airbus470 participants
CNES673 participants
Ceva Animal Health209 participants
Cerema145 participants
SATT network173 participants
AÉSIO mutual21 participants
Crédit Mutuel13 participants
Engie11 participantsAirbus595 participantsFrequently asked questions about AI training for customer service and after-sales support
Answers to key questions about level, tools, personalization, and modalities.
AI training for customer service: which organization should we use to train our advisors and customer service team?
NextStart.AI, a generative AI training organization based in Paris (registration number 11756140675), designs customized sessions for customer service, after-sales service, support, and customer relations teams: a maximum of twelve participants, based on your anonymized typical requests and complaints, using a tool validated by your IT department. 4,850 professionals trained since 2023, average satisfaction of 9,4/10.
Does our customer data remain confidential?
Yes. The cases are built on anonymized or reconstructed examples; no real customer data is transmitted to a public model. The session takes place on the tool approved by your IT department, in your environment.
Will AI answer in place of our advisors?
No. She prepares: she finds the information, proposes a response, summarizes the history. The advisor checks, adjusts the tone and decides what is sent, in particular anything that commits the company (guarantee, deadline, goodwill gesture).
How to avoid giving a wrong answer to a customer?
The training teaches participants to request the procedure or source document for each response, to verify binding information, and to identify outdated documentation. This is a systematic exercise in the workshop.
Is it possible to prepare a tray without interrupting the service?
Yes. We organize short 1.5-hour sessions, repeated in waves at staggered times, remotely or on-site, so that the service remains available during the training.
Do you need to already know how to use ChatGPT or Copilot?
No. The content is adapted to the level of the participants, from discovery to the construction of a sourced answer assistant.
Can you work with our ticketing tool?
Yes, if your ticketing system includes an AI assistant authorized by your IT department, we use it. Otherwise, we work with the company's general-purpose assistant (Copilot, ChatGPT, Claude, Gemini, Mistral) using anonymized snippets.
What is the difference between the 1 hour 30 minute format and the half-day format?
The 15-hour format follows the same concise structure: 20 minutes of fundamentals, 55 minutes of workshop on two case studies chosen with you, and 15 minutes of practical application. The half-day format (3.5 hours) allows for the exploration of more situations, the creation of reusable prompts and assistants, and the presentation of work in a group setting.
Can the training be funded?
Our training courses are eligible for OPCO and ESF+ funding.
How much does the training cost?
Expect to pay €1,300 to €1,800 excluding VAT for a half-day session for up to twelve participants, with a discount for consecutive sessions; the 1.5-hour format is available upon request. We will send you a quote within 24 business hours; our price range is detailed on the page How much does AI training cost?.
Who is leading the session?
Flavien BessetThe speaker will be the founder of NextStart.AI, or a trainer from the team trained in the same methodology, depending on the language, city, and size of the wave. The speaker's name is included in the proposal, and they will prepare the session with your contact person.
What happens after my request?
You will receive a personal response within 24 business hours. A 30-minute exchange will clarify your teams, your tool, and your deadlines, after which you will receive the detailed proposal and training agreement.
Receive a response within 24 business hours
Click what applies to you, the sentence will write itself, complete if you wish: teams involved, channels, deadlines.
Do you prefer to call or write? +33 1 89 16 48 05 or hello@nextstart.aiYour contact details are only used to reply to you.
NextStart is a training organization registered under number 11756140675. This registration does not constitute state approval.