Which teams across the business need this?

Anyone across the value chain who handles a heavy load of product information, communication, or reporting: importer and distributor staff, dealer operations, sales, customer experience, service, after-sales, quality, procurement, marketing, and localization.

Do you need an engineering or coding background to attend?

Participants need no coding or data-science background. They need to know their own workflows and document types, and technical and business roles can attend together or in separate cohorts matched to their responsibilities.

How long does the training take?

About 13 hours across two days, delivered onsite or live online, split into half-day blocks if dealer operations, service schedules, or cross-functional participation need it.

Can the syllabus flex around our brands and markets, including the dealer network?

Yes. Before training starts, we review your roles, approved tools, document types, languages, and priority workflows. Exercises can reflect an importer, a distributor, an OEM, a dealer, a service operation, or a supplier environment. None of it requires putting confidential live data into an unapproved tool.

Can AI make an engineering, quality, warranty, or safety call?

No. AI can summarize approved information, structure a case, draft a question, or prepare a first pass, but it doesn't approve an engineering change, release a quality record, determine warranty coverage, diagnose a fault, or make a safety call, and those duties stay with the professionals who already hold them.

What goes into the price?

Group size, delivery format, location, and customization depth drive the number. Send over your teams, markets, and goals, and the quote you get back is scoped to them.

Which AI tools are part of this?

The core skills carry over between tools and get practiced on ChatGPT, Microsoft Copilot, and Gemini. If your organization already has an approved enterprise tool, we adapt the exercises to its access, security, and governance rules.

How is confidential and safety-sensitive data handled?

Examples are synthetic, anonymized, sanitized, or approved, and nothing else is opened. Teams practise data minimization and KVKK/GDPR-aware handling, and set clear rules for drawings, specs, unreleased products, pricing, personal data, test findings, and safety information. Sensitive output always goes to the required expert review.

AI Training · Automotive

AI Training for Automotive Teams

Automotive teams work across dense product information, dealer networks, customer questions, service cases, supplier correspondence, and multilingual campaigns, all at once, all the time.

This training helps your teams turn that load into faster summaries and cleaner drafts with generative AI. Engineering, quality, warranty, and safety decisions stay exactly where they need to: with the professionals responsible for them.

modules: 6
hours: 13

Some of the 500+ brands we've worked with

Selected brands we’ve worked with across industries.

See all references

Two days is enough to turn a dealer network's flood of documentation into something sales, service, quality, procurement, and marketing teams can keep up with. Model updates become dealer bulletins. Workshop notes become service cases. Customer complaints become investigation packs. Supplier threads become decisions, and approved claims become localized campaigns across languages and channels.

Generative AI summarizes, structures, and drafts this text-heavy work well, but only once a team knows which sources to trust and who signs off — a model can organize a quality-case file but not establish root cause, draft a warranty note but not decide coverage, simplify a bulletin but not make an engineering or safety call. Teams closer to plant-floor documentation may find AI training for manufacturing a better start, alongside the rest of our industry AI training programs.

Model years never stop changing

Model-year updates and bulletins create a constant reading and writing load — AI drafts summaries, someone still verifies every detail.

Same question, everywhere

Sales, call-center, and after-sales teams answer the same questions across channels — AI adapts approved info without inventing a claim.

What do workshop notes actually tell you?

Workshop notes and complaints arrive as walls of text — AI summarizes themes for review but never diagnoses a fault or approves repair.

The value chain runs on email

Supplier questions and quotations create a steady stream of document work — AI drafts clearer packs, the buyer or engineer still validates.

Designs and safety data need a hard line

Drawings, unreleased plans, and safety data can't be treated like ordinary text — training sets rules for approved tools and mandatory review.

01
Foundations for automotive teams
120 minBeginner
A plain-language introduction to what large language models can and cannot do across the automotive value chain. Participants see where AI supports text and knowledge work, where it invents details, and why accountable experts keep every engineering, quality-release, warranty, and safety decision.
What a language model does with automotive text, in plain terms
Where AI genuinely helps, across sales, dealer ops, after-sales, procurement, and marketing
What a hallucination looks like in product or service content, including technical material
Drafting versus a decision only an accountable expert can make
Picking a first workflow
02
Prompt craft and source-grounded document work
120 minBeginner
Teams build a repeatable structure for automotive documents: role, approved sources, task, audience, format, constraints, and review, practiced on traceable drafts that never expose confidential vehicle, supplier, or customer information.
A reusable prompt pattern for automotive documents
Naming approved sources and asking the model to flag uncertainty
Summarizing a long technical document without losing a single condition
Building a structured draft and action list from rough notes
Setting the right tone for dealers, customers, suppliers, and internal teams
A prompt library, reviewed
03
Dealer and customer communication after the sale
150 minIntermediate
Participants practice creating clear, channel-specific communication from approved product and service information. The model handles drafting and localization. Product specialists confirm accuracy first. Customer-care and after-sales owners do the same before anything ships.
A dealer bulletin, drafted from approved inputs
One product explanation adapted for email, CRM, web, and a call center
Service reminders and after-sales content, prepared ahead of time
What a customer complaint or a long case history boils down to
Never inventing a warranty or goodwill commitment in a response draft
When a question needs a human: technical, legal, safety, or reputational
04
Quality cases and supplier reporting
150 minIntermediate
Quality and procurement teams, along with operations, use AI to structure case material and recurring reports. AI may organize evidence and draft questions, but qualified teams determine root cause, release status, corrective action, supplier acceptance, and warranty responsibility.
A review pack built from quality and field-case notes
Grouping recurring themes without claiming a verified root cause
A supplier email thread, summarized into decisions and open actions
A request for quotation or follow-up, including a meeting summary
A management report built from structured, production-adjacent updates
Who approved what
05
Marketing and localized product-content operations
120 minIntermediate
Marketing and product-content teams learn to adapt approved claims across markets and channels, running campaign variants and consistency checks while legal wording and brand review stay intact.
Channel variants derived from one approved content master
A campaign localized without changing its factual meaning
Model and trim content compared across markets for gaps
What good FAQs and sales material borrow from approved sources
Claim, legal, product, and brand review before anything ships
06
Confidential data and safe adoption boundaries
120 minAdvanced
Individual habits become team policy here. Participants classify sensitive data, define approved-tool boundaries and review ownership, select pilot workflows, and leave with a rollout plan that keeps safety-critical and confidential-design information under strict control.
Classifying designs, specs, pricing, personal data, and safety information
Consumer tools versus enterprise ones, and where the data goes
Data minimization and KVKK/GDPR-aware handling
Deciding who reviews and approves each workflow
Picking pilots with a measurable outcome
A 90-day adoption plan to take home

What you will learn

Turn a technical document into a traceable draft
Answer once, adapt it everywhere
Spot a pattern in case histories
A supplier thread becomes a decision
Keep a claim the same across five languages
Write the report
Keep designs, pricing, and safety data inside approved tools
Retain engineering, quality-release, warranty, and safety calls with the accountable professional

Who should attend

Importer, distributor, OEM, and dealer-network leadership
Sales, dealer development, CRM, and customer-experience roles
Anyone running service or warranty operations, including after-sales
Quality and field-performance groups
Procurement and supply-chain functions
Whoever owns marketing and training content, including localization

Automotive cohorts meet for two days or half-day sessions arranged around dealer or office schedules, including operational constraints. Onsite and live-online formats adapt the exercises to your roles and document types, using whatever tools you've already approved.

Format: Onsite or live online
Duration: 2 days (about 13 hours, can be split into half-day sessions)
Group size: Up to 20 participants per group
Language: English or Turkish
Materials: Prompt library, automotive document templates, review checklists, and exercise workbook
Certificate: Certificate of completion

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Where does your organization sit in the automotive value chain, and which teams need this most? Send that over with your document workflows and approved tools, and we'll build the syllabus around the work those teams already manage.

Two colleagues updating a workflow board and checking a process change

Which teams across the business need this?
Anyone across the value chain who handles a heavy load of product information, communication, or reporting: importer and distributor staff, dealer operations, sales, customer experience, service, after-sales, quality, procurement, marketing, and localization.
Do you need an engineering or coding background to attend?
Participants need no coding or data-science background. They need to know their own workflows and document types, and technical and business roles can attend together or in separate cohorts matched to their responsibilities.
How long does the training take?
About 13 hours across two days, delivered onsite or live online, split into half-day blocks if dealer operations, service schedules, or cross-functional participation need it.
Can the syllabus flex around our brands and markets, including the dealer network?
Yes. Before training starts, we review your roles, approved tools, document types, languages, and priority workflows. Exercises can reflect an importer, a distributor, an OEM, a dealer, a service operation, or a supplier environment. None of it requires putting confidential live data into an unapproved tool.
Can AI make an engineering, quality, warranty, or safety call?
No. AI can summarize approved information, structure a case, draft a question, or prepare a first pass, but it doesn't approve an engineering change, release a quality record, determine warranty coverage, diagnose a fault, or make a safety call, and those duties stay with the professionals who already hold them.
What goes into the price?
Group size, delivery format, location, and customization depth drive the number. Send over your teams, markets, and goals, and the quote you get back is scoped to them.
Which AI tools are part of this?
The core skills carry over between tools and get practiced on ChatGPT, Microsoft Copilot, and Gemini. If your organization already has an approved enterprise tool, we adapt the exercises to its access, security, and governance rules.
How is confidential and safety-sensitive data handled?
Examples are synthetic, anonymized, sanitized, or approved, and nothing else is opened. Teams practise data minimization and KVKK/GDPR-aware handling, and set clear rules for drawings, specs, unreleased products, pricing, personal data, test findings, and safety information. Sensitive output always goes to the required expert review.

By team

By industry

By tool

AI Training for Automotive Teams