Fragmented systems: ERP, MES, CAQ, CAD and spreadsheets that don't talk to each other
Skilled-labour shortage, with critical know-how locked in experienced employees' heads
Small batch sizes and high variant complexity that make quoting and planning slow
Rising documentation and traceability demands from customers and audits
Cost and margin pressure against low-cost international competition
Legacy machines and separated OT/IT that are hard to connect and secure
Where AI helps
Automate quoting and order processing
Recurring steps from enquiry to order confirmation can be eased with AI Automation — for example by pre-structuring enquiries, checking master data and preparing quotes. Your team gains time for the actual production work.
Connect ERP, MES and the shop floor
With AI Integrations we link existing systems such as your ERP with machine and shop-floor data instead of replacing them. Information then flows automatically to where it is needed, from order intake to delivery.
Make production and machine data usable
Raw data from machines, test benches and systems is turned into something people can read. Typically that means spotting anomalies earlier, reducing scrap and planning with more confidence — without your staff needing to study data science.
Capture and share expert knowledge
Inspection plans, set-up instructions and hard-won experience often exist only verbally. A KI-based knowledge assistant makes them searchable and supports the onboarding of new staff.
A realistic Industrie 4.0 roadmap
In AI Consulting we work out together which steps genuinely pay off for your operation — prioritised by value, effort and data maturity rather than by buzzwords.
What practical AI looks like on a Swiss shop floor
The examples below are deliberately illustrative and show typical use cases — not measured results from specific projects.
Incoming enquiries and drawings are pre-sorted and linked to the right master data in the ERP.
Quotes for recurring part families are prepared from earlier orders and released by your team.
Inspection and measurement records are consolidated automatically and documented as traceability evidence.
An internal assistant answers questions about work plans, standards and set-up processes based on your own documents.
How we work — from pilot to production
We start small and measurable: one clearly scoped use case that shows value quickly before scaling up. Existing systems are connected, not replaced.
A short discovery workshop to understand your processes, systems and data.
Prioritisation by value and effort, together with your team.
A pilot with clear success criteria, followed by step-by-step rollout.
Training for your staff so the solution is supported in daily work.
Data protection and security in a Swiss context
Manufacturing data is sensitive — from design drawings to customer orders. We design solutions to fit the revised Data Protection Act (revDSG/nFADP), clarify where data is processed and stored, and respect the separation of OT and IT. Where it makes sense, data stays in Switzerland.
Specific legal reviews are aligned with your responsible officers, and we keep the expectations of the EDÖB in view.
No. Weissmann AI's approach deliberately builds on your existing systems. Through AI Integrations we connect ERP, MES and other tools rather than replacing them, which lowers both risk and effort.
Is AI worthwhile even for small batch sizes?
Especially then. High variant complexity and small series create a lot of manual work in quoting, planning and documentation. It is precisely these recurring steps that can often be sensibly eased.
Do we need perfectly clean data first?
No, but your data situation shapes the approach. In AI Consulting we look at what is already usable today and choose a use case that fits your current data quality.
What about our older machines?
Even without the latest controls, it is often possible to capture data or automate the surrounding processes. We pragmatically assess which connection is feasible with reasonable effort.
Where does our manufacturing data stay?
We clarify this before starting. Solutions are aligned with the revised Data Protection Act (revDSG/nFADP); where it makes sense, data stays in Switzerland and the OT environment remains separated.
How do we best get started?
With a short conversation and one clearly scoped pilot. That way you see the value in your own operation before investing more heavily.
AI for your industry – concretely
In a short call we show which building block makes the biggest difference in your sector.