Customized professional training
AI training for quality teams
Strengthen your audits, non-compliance analyses and the quality of your procedures through secure uses of AI.
Starting from €1,500 excluding VAT per half-day · Written proposal within 24 working hours, without obligation.
The training in brief
Everything you need to make a decision, in nine lines. The objectives, process, and use cases are below.
- What it is
- A customized training in generative AI For quality teams: a maximum of twelve participants, each working on their own computer, working on their own files. No lectures or demonstrations: 70% hands-on practice.
- What we work on there
- Your audits and procedures formalization of a practice into an operational method, analysis of discrepancies and non-conformities, control of communication with regard to the GDPR, exploration of control data.
- For who
- The teams quality, compliance and continuous improvementAll levels, including employees who have never opened the tool.
- Duration and rhythm
- 1 hour 30 minutes or half a dayAvailable in one go or in waves of sessions to cover the entire team. Also available as a webinar.
- Where and in what language
- At your premises anywhere in France, or remotely. French or English.
- Price
- €1,500 to €2,000 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 secure internal assistant. We train within your tenant, without 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.
Why train your quality teams in generative AI?
Quality teams can accelerate analysis and document drafting, provided that compliance, traceability and validation by professionals are maintained.
Extensive documentation to maintain
Procedures, operating methods and reference documents must remain consistent despite frequent changes.
Non-conformities to analyze
The facts, possible causes, and corrective actions must be structured without premature conclusions.
Demanding audits to prepare
Questions, evidence and action plans require methodical preparation adapted to the relevant framework.
Answers that must remain verifiable
A plausible formulation never replaces proof, a normative requirement, or quality validation.
What your quality teams will be able to do at the end
Six objectives, assessed during the session on the files that your teams bring.
- Write and revise a quality document (procedure, operating method, quick reference guide) using an AI tool, then verify its compliance with the standard before distribution.
- Structure the analysis of a non-conformity up to the CAPA plan, separating the observed facts, the possible causes, and the actions taken.
- Develop an internal audit plan and its questionnaire based on a standard or framework, including the expected evidence for each requirement.
- Adapting the same quality or HSE content to its different audiences (operators, management, executives, external auditors) without weakening its requirements
- Recognizing what an AI tool cannot produce: audit evidence, a compliance decision, validation of a controlled document
- Apply your internal usage rules, the GDPR, and Section 4 of the AI Act to your own records
How we prepare the session with your quality representative
The content, examples and tools are prepared with your subject matter expert before the session.
Feasibility study
Gathering of needs, participant level, constraints and priority use cases.
Customization
Adaptation of the schedule, demonstrations and exercises, then validation with your organization.
Training
Participatory facilitation, guided practical application and distribution of educational materials.
How generative AI is transforming quality professions
AI can accelerate audits, gap analysis, and document production. It becomes useful when it strengthens methodology, traceability, and continuous improvement without obscuring evidence or automating compliance decisions.
Prepare for audits more effectively
AI helps to organize rooms, prepare controls and identify documents or information to be investigated further before an audit.
Maintain procedures and operating methods
Business practices can be structured into clearer documents, compared between versions and adapted to different audiences.
Analyze discrepancies and non-conformities
Tables, incidents and observations can be grouped together to highlight anomalies, possible causes and avenues of investigation.
Keep evidence and accountability
Quality conclusions must remain linked to verifiable elements, with human validation and strict rules on sensitive data.
The program, hour by hour
A balance designed to understand, practice and then secure uses in the work environment.
Schedule for the half-day (3 hours 30 minutes)
- 0 p.m. to 00 p.m. Fundamentals of generative AI, getting to grips with the tool chosen by your IT department, custom memory and instructions, what the model can do and what it invents when asked for a normative requirement.
- 0 p.m. to 20 p.m. : prompt method applied to a quality document, with context, reference framework and explicit request for source passages.
- 0 p.m. to 40 p.m. Prompts & Agents workshop on your situations. Three families to choose from: analysis of a non-conformity up to the CAPA plan, preparation for an internal audit (grid of questions and expected evidence), drafting or simplification of a procedure and operating method.
- 2 p.m. to 40 p.m. : building a reusable agent for a recurring use by the team, for example formatting a non-conformity report or reading a table of quality indicators.
- 3 p.m. to 10 p.m. : bias, confidentiality, GDPR, Article 4 of the AI Act and collective drafting of your internal usage rules, distinguishing between documents and data that never leave the validated environment.
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.
The quality and HSE situations we can work on
The exercises are selected according to your priorities. The groupings below retain the details of the situations that can be worked on.
Standards and requirements
- To synthesize a standard or reference document
- Compare two versions of a requirement
- Build a conformity matrix
- Prepare a targeted regulatory monitoring system
Audits
- Prepare an audit plan
- Generate a grid of questions
- Analyze the audit findings
- Write a clear and factual report
Non-conformities
- Reformulate a non-conformity
- Analyze the root causes
- Use the 5 Whys and Ishikawa methods
- Prepare a CAPA plan
Procedures
- Write a procedure or operating method
- Simplify a complex document
- Compare several procedures
- Create a quick reference guide
Risks and indicators
- Mapping quality risks
- Define the prevention measures
- Analyze the quality KPIs
- Transforming data into recommendations
Sensitization
- Create a training material
- Produce a verification quiz
- Adapt messages to different audiences
- Prepare a quality FAQ
Concrete examples of use cases for quality teams
Operational resources to extend training on audits, procedures and gap analysis.
Analyze a non-conformity to its root cause →
Work backward from the factual description to the root cause and corrective actions (8D).
Quality Management System Assistant →
Find the applicable procedure and its current version, with supporting documentation.
Monitoring corrective and preventive actions →
Contact bondholders before the expiry date and report expired shares and recurring issues.
Prepare the quality management review →
Prepare a management review file in accordance with ISO 9001 (§9.3).
Preparing a document audit →
Inventory the evidence, check its validity and prepare the remediation plan.
Diagnosing a process and proposing its improvement →
Map a process, locate losses and propose improvements.
Transforming a practice into an operational method →
To formalize what is actually done into a usable procedure.
Analyze a table and highlight the anomalies →
Explore structured data and identify points to check.
Summarizing a long document without losing the evidence →
Extract the essential information while retaining useful passages and references.
Transforming the voice of the customer into an improvement plan →
Moving from complaints and investigations to prioritized corrective actions.
Your data does not leave your environment
Non-conformities, audit reports, customer complaints: your quality information does not leave your environment.
The exercises are based on your real-world situations, never on your actual data. We develop the practical cases with your business expert 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, or a locally installed open-source solution for the most sensitive data. No documents, files, or personally identifiable information are 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, ensuring that each participant leaves with a clear understanding of what they can and cannot submit to an AI tool.
Copilot M365
Claude
ChatGPT
Gemini
VibeReferences and feedback
Some examples of interventions and feedback from NextStart.AI training courses.
Airbus470 participantsAirbus595 participants
CNES673 participants
Alptis450 participants31 AI Champions
Agirc-Arrco650+ participants
Bristol Myers Squibb237 participants10 AI Champions
Ceva Animal Health209 participants
SATT network173 participants
Cerema145 participants
Engie11 participants
AÉSIO mutual21 participants
Crédit Mutuel13 participantsFrequently asked questions about AI training for quality teams
Answers to key questions about level, tools, personalization, and modalities.
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 more advanced methods.
Can the training use our internal tool?
Yes. The session can use the tool approved by your IT department, including Copilot, ChatGPT (Enterprise or Azure OpenAI), Gemini, Claude, Mistral or a local solution.
Can we work on our own use cases?
Yes. Priority situations are selected with your contact person, then transformed into suitable and safe exercises.
What is the difference between the 1 hour 30 minute format and the half-day format?
The shorter format focuses on familiarization and a few demonstrations. The half-day format allows for more hands-on practice with your specific use cases.
Can the training be funded?
Our training courses are eligible for OPCO and ESF+ funding.
Can AI validate the conformity of a procedure?
No. It can help to compare, reformulate or identify potential discrepancies, but validation belongs to the competent professional.
Can we use our reference materials during training?
Yes, with authorized extracts and in a validated environment, respecting usage rights and confidentiality.
How much does the training cost?
The price depends on the chosen format, the number of participants, and the number of sessions. We will send you a quote within 24 business hours of our initial discussion. Price ranges for standard formats can be found on the Corporate AI Training page.
How soon can a session be organized?
Allow one to two weeks between your agreement and the session, the time for framing with your quality manager, personalizing the exercises and validating the schedule.
What deliverables do the participants receive?
A booklet of about fifty pages, the prompts and agents built during the workshop on your own cases, and the rules of use written collectively at the end of the session.
Let's build your customized quality training program
Describe your situation in a few lines. We will get back to you within 24 business hours with a proposal tailored to your teams, tools, and schedule.
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.