Too much searching
“Where is the right information – and is it actually up to date?”
Data clarity · Processes · AI · Transformation
Your data keeps growing.
Your data keeps growing.
So does the work around it.
Information is searched for, copied, checked and repeatedly assembled by hand. Systems multiply. Requirements increase. Processes slow down. Time and costs keep rising.
And now AI is supposed to fix it?
Another software tool will not solve the underlying problem. Digitalisation creates value when data, processes and people work together.
Another software tool will not solve the underlying problem. Digitalisation creates value when data, processes and people work together.
A clear course instead of digital actionism. Understand first – then change what matters.
Does this sound familiar?
You do not need a major analysis to feel the problem.
You experience it every day: searching, asking, copying, coordinating – and waiting for decisions that should be faster.
Too much manual work
The same data is entered, transferred, checked and corrected again and again.
Too slow
Questions, handovers and missing context slow down processes and decisions.
Too little value
ERP, PIM, PLM, CMS and AI are in place – but the expected efficiency gains do not materialise.
A change of perspective
You probably do not have too little software.
What is missing is clarity between data, processes and responsibilities. A new ERP, PIM, DPP platform or AI assistant may be useful – but only once it is clear which problem it is meant to solve.
That is why we do not start with a product.
We start where time, money and speed are being lost today.
We start where time, money and speed are being lost today.
Where do we lose time?→Which process slows us down?→Which data is missing?→What should connect?→What becomes measurably better?
One concrete process is enough to start.The 8 questions for your company →
From problem to solution
Not another tool. A better company.
Move from data chaos to a reliable data foundation: organise, connect and reuse information so processes become faster and every new requirement does not trigger another isolated project.
Only meet requirements?
Obligation met – but effort and business value barely improve.
Software only?
ERP, PIM, PLM or a DPP platform without strategy, processes and semantics may simply digitise existing chaos.
Data clarity + transformation
Data becomes reusable for DPP, service, audits, sustainability, AI and new business models.
C-level: four dimensions decide.
The DPP alone does not transform a company. Leadership, behaviour, collaboration and data structure need to move together.
Mindset
Leadership, mindset and ownership set direction. Digitalisation is a leadership responsibility.
Behaviour
End-to-end processes, BPMN, roles and KPIs show whether change actually works.
Culture
Visionaries, realists, internal improvers and employees need to work together.
Structure
Semantics connects ERP, PIM, PLM, CMS and other sources into a traceable data space.
Compliance alone creates little value. Software alone may simply digitise existing chaos.
Leadership, processes, culture and data structure together create the foundation for measurable digitalisation.
Leadership, processes, culture and data structure together create the foundation for measurable digitalisation.
Digitalisation must show up in KPIs.
Otherwise it is just effort. The DPP is a use case – value comes from better data and better processes across the company.
↓ Audit Readiness
Provide evidence faster.
↓ Compliance cost
Less manual duplicate work.
↓ Decision time
Reliable data accelerates.
↑ Data quality
Trace sources and relationships.
↑ Value creation
Service, AI and new business models.
Academy + experts: we connect the disciplines.
Data clarity and sustainability are not created by a single vendor. We connect specialists in regulation, sustainability, data management, semantics, technical communication and processes with experts inside the company.
VDI technical committee: practice and guardrails
An expert from our Academy network contributes to a VDI technical committee on technical documentation. From October 2026 we expect further practical orientation on useful guardrails for companies on their path toward the Digital Product Passport.
AI needs data clarity
Understand, structure and plan first. Then AI.
AI does not become successful simply by introducing another tool. It becomes valuable when corporate knowledge is reliably structured and relationships become understandable.
That is why we connect data clarity, semantic layers and processes: understand and model processes with BPMN first, clarify responsibilities and required information, and build a semantic data layer from there. Only then can AI consistently support work across ERP, PIM, PLM, CMS and other sources.
Understand processes → model with BPMN → clarify data → create semantics → implement consistently → use AI effectively.
Upcoming webinars
From understanding to action.
Two German-language online sessions for companies that want to look beyond compliance and connect data clarity, sustainability and measurable business value.
8 September 2026 · Online · Event in German
Digital Product Passport: connect data and create clarity
A practical introduction to digital product data and the DPP, focusing on data quality, connected information and pragmatic implementation.
Event in German · Registration →16 October 2026 · Online · Event in German
BVMW WebImpuls: Strategies for sustainable success
With Dr Dina Barbian and Georg Eck: EU regulation, circular economy, data quality and practical ways to turn DPP requirements into competitive advantage and new business models.
Event in German · Details & registration →C-level self-check
8 questions before you spend money.
If one or more questions make you pause, it is worth talking. Not because you need a project immediately – but because clarity is the first step.
1
Which product groups are affected?
Not only legally: which customers already demand additional data?
2
Where is product and sustainability data?
ERP, PDM/PLM, PIM, CMS, Excel, PDF – and who understands the relationships?
3
Who owns the data?
Who creates, validates, maintains and approves it?
4
Which evidence is missing?
Materials, origin, PCF, repair, compliance or supply chain?
5
What can be reused?
Which data supports DPP, service, sales, AI and audits at the same time?
6
Where do processes slow you down?
Which manual handovers, media breaks and duplicate work cost time today?
7
Which pilot product fits?
Where can you learn quickly without starting a major programme?
8
What business case emerges?
Where can you reduce cost and risk or create new services and revenue?
“Yes – I would like to discuss these questions with an expert.”
Tell us briefly what is on your mind and when we may call you back – for example: “Please call me on 3 September between 10am and noon.”
Digital Product Passport
The DPP is only one use case.
The real value lies in the data clarity created behind it.
When product, sustainability and process data is structured, semantic and traceable, it can be reused not only for the Digital Product Passport, but also for service, audits, AI, technical communication, supply chains and new business models.