Education grounded in practice
Current tools applied to real tasks.
AI-native design & engineering studio · Munich
Bringing AI to where physical products are made.
We connect product expertise, design and AI so companies can develop better physical products and carry out the related specialist work reliably — together with their teams.
Experience & impact
14 yearsAutomotive & product development
DesignFrom idea to product definition
BuildFrom rule to application
EnableFrom tool to working practice
On-premiseAvailable per project
Services
Four levers for better products and leaner processes.
Field 1
Product design & engineering
- What
- From brief to package, form and decision-ready design.
- Outcome
- A clear product definition.
Field 2
AI process automation
- What
- Automate recurring checks and data transfers for enquiries, drawings and orders.
- Outcome
- Traceable workflows with specialist approval.
Field 3
Configurators & digital products
- What
- Configure, visualize and hand over complex products in a structured way.
- Outcome
- Complexity becomes usable.
Field 4
AI enablement & Academy
- What
- Hands-on formats and setups for real roles and tasks.
- Outcome
- Teams become capable.
Request Change Academy
Use AI. Don’t just talk about it.
From education and industry · For companiesExplore Academy & enablement →AI training requirements explained
Hands-on enablement for design, engineering and leadership — built around real work from your day-to-day.
Enablement for teams
Define goals, maintain context and review results with agents.
Transfer into daily work
Transferred directly into existing processes.
Process
Understand. Build. Embed.
01
Analyze
We clarify the task, available data and criteria for a useful result.
02
Develop
We develop a design, application or working practice and review it with your specialists.
03
Transfer
We hand over traceable results and clarify their use, responsibilities and next steps.
Possible process improvements
The same process. Less friction.
Quoting
- Separate steps
- Repeated data entry
- Connected workflow
- Guided review & approval
Design variants
- Separate steps
- Build variants individually
- Connected workflow
- Vary designs with AI
Presentation
- Separate steps
- Catalog & PDF
- Connected workflow
- Live configuration
Cases
Selected references.
These references showcase projects led by Marcus Görner, including work completed before Request Change GmbH was founded.
Our priorities
AI for reliable product work.
How does a drawing, product rule or requirement become a professionally useful result? We examine four aspects of the same task: collaboration and system design, together with economics and security in operation.
Working with agents
Specialists provide goals, drawings and references; agents support the work. We ask how context and feedback improve the quality of design variants, checks and drafts.
Building agent systems
From the enquiry through product rules to approval: we translate specialist processes into traceable workflows and assess where agents offer an advantage.
Operating AI economically
Drawing checks, variant generation and quote preparation have different requirements. These inform the choice of models, operating environments and hardware. Result quality and total cost are the deciding factors.
Securing AI agents
An agent may be allowed to check a drawing without being allowed to send customer data or approve a quote. We ask how such boundaries can be enforced technically and verified within the professional workflow.
Read the evaluation plan and research questions Version 0.5 · Updated: 16 September 2026
We understand how products and processes connect: from geometry and variants through drawings and product rules to decisions by specialist teams.
Why Request Change
Why work with us.
01
Domain first.
Domain knowledge, constraints and exceptions shape the solution.
02
Senior, end to end.
14 years of product development — from design to handover.
03
AI-native.
We use the systems we build every day.
04
People included.
We clarify who reviews the results and how the team works with them.
About Marcus
Marcus Görner
Managing Director · Request Change GmbH · Seefeld near Munich
14 years in automotive and product development. Today Marcus Görner brings design, engineering, AI and teaching together in a senior-led studio.
FAQ
The questions from the intro call.
What does a project with Request Change cost?
After the intro call, you receive a fixed-price offer with clear milestones.
How quickly do we see results?
Timing depends on the project. Visible intermediate results are agreed in advance.
Does our data stay in-house?
On-premise may be possible depending on the project. We define the architecture before work starts.
What makes Request Change different from an AI consultancy?
We combine product expertise, design, engineering and AI development. Depending on the brief, the result is a decision-ready design, a usable application or a working practice tested by the team. We agree the outcome and acceptance criteria in advance.
How do we get started?
In a no-obligation 30-minute call, we look at a concrete task: a product variant, a recurring drawing check or a learning need in the team. Together, we clarify the goal, available foundations and a useful starting point.
Contact
Let’s talk about your product.
Bring the bottleneck. In 30 minutes, we clarify whether and how we can help.