Efficiency in the core business
Automated administrative, sales and service processes create room for the transition.
Structural change as the starting point
Whether automotive supplier, energy region or classic mechanical engineering: when established value chains shift, companies have to build new capabilities in a short time. The workforce is experienced, the processes well-rehearsed — but geared to a business that is changing.
Transformation in this situation does not mean reinventing everything. It means using existing knowledge, existing data and existing customer relationships so that viable new offerings and more efficient workflows emerge.
The role AI plays in the transformation
AI acts in three places: it lowers the effort in existing processes, it opens up employees' experience for everyone, and it enables new, data-based offerings for customers.
Securing knowledge
Experience from manufacturing and service is documented and made accessible by AI assistants — even across generational change.
New offerings
Data-based services around existing products: condition monitoring, advice, platform offerings.
Supporting decisions
Scenarios, forecasts and KPIs from existing data instead of gut decisions under pressure.
Approach: take stock, set priorities
We begin by taking stock: which business processes carry the company today, which are under pressure, which data and skills exist? The Use Case Discovery and the AI Readiness Check provide the picture; the Sellium TCO model makes the options comparable.
The result is a roadmap that combines quick wins with structural measures — and that realistically fits the company's staff, budget and time.
- Taking stock with management and departments
- Prioritisation of use cases by impact on the new business model
- Staged roadmap (1–3, 4–6, 6–12 months) with owners
- AI policy and governance from the start
Bringing people along, building skills
Transformation rarely fails on technology, often on acceptance. That is why every project starts with enablement: employees from all areas understand what AI can do, what it cannot do and how it changes their own work. As an AZAV-certified training provider we can design training so that it is eligible for funding and at the same time meets the AI literacy obligation under Art. 4 EU AI Act.
Using funding
For regions in structural change and for SMEs in general, funding programmes exist at federal, state and EU level — for consulting, qualification and investments in digitalisation. We check with you which programmes fit your project and align project structure and documentation so that applications are sound. Specific programmes and rates: Funding options.