For mechanical engineering & manufacturing
Transformation through seamless
AI innovation
With our Assessment Sprint, we make bottlenecks visible, prioritize by ROI & risk, and implement quick wins right away. When standard tools aren't enough, we build the solution.
GDPR-compliant, integrated, with enablement.
No gimmicks — just measurable relief.
Streamline processes
ROI prioritization
GDPR compliant
Everyone's talking about AI,
but why exactly?
our employees are copying sensitive data into ChatGPT
In 90% of companies, employees use AI tools without central approval or data protection review.
Employees are retiring and taking their knowledge with them
296,000 mechanical engineers full of undocumented knowledge will retire within 10 years, that's 1/4 of your industry.
Service is a revenue source, but the team is at its limit
Machine sales are declining, service margin is your lifeline. The support team is drowning in standard inquiries.
All three problems are solvable, but only if you start now.
This situation is not unique, we see it every day at engineering companies. The good news: all three problems are not your fate, but a symptom of outdated processes.
We help mechanical engineering and manufacturing companies deploy AI precisely where it streamlines processes, accelerates service, and delivers measurable impact.
Distilled from hundreds of workshops: The AI Ecosystem Sprint
Pulse Check + Assessment form the diagnostic core. From there, two parallel paths emerge:
Quick Wins for immediate relief and Build & Scale for scalable systems.
When you talk to every single employee and specifically ask about repetitive tasks, you uncover potential you never saw before.
Florian Rabl
Managing Director, ice space studios
What changes after
No 'strategy document' just concrete deliverables and tangible relief in day-to-day operations, including standards for safe usage.
Bottlenecks made visible & prioritized
Service
process faster
Quality & documentation more consistent
Knowledge
accessible instead of scattered
Onboarding accelerated
Fewer internal
queries
Safe AI usage (Governance)
Roadmap for expansion & integration
After 10 days, you'll have clarity + your first quick wins live.
After that, you decide modularly whether it's worth scaling.
Case Study
Our service was chaos.
Now it's our selling point.
Managing Director, Special-Purpose Machinery
A mid-sized special-purpose machinery manufacturer wanted to make support and service more predictable:
5–7 days to first response, knowledge scattered across Outlook/Excel, and high rework. In the AI Assessment, we structured processes and data flows, implemented an email/ticket triage as well as support and technician assists, and rolled out quick wins including standards & governance — so the solution is actually used in day-to-day operations.
faster response time
faster quote generation
customer satisfaction
We solve problems strategically, not with hype
We deliver Report + Quick Wins + Governance. Others deliver webinars.
While other AI consultancies sell generic tools, we understand your engineering business: empty runs, knowledge drain, service inefficiency.
- AI Assessment → identify your top 3 levers
- Quick Wins 3–8 weeks
- Build & Scale 6–12 months
- Governance from day 1 → EU AI Act ready
Proven framework distilled from many workshops
End-to-end delivery
Analysis + Enablement + Implementation + Build, all in-house
Access to the ice space AI Hub with prompt templates, best practices, and the latest tools.
Quick wins in days, no months-long concept phase
Let's talk about your
AI Assessment
A sprint in which we analyze processes (MES, ERP, sensors), identify bottlenecks such as downtime or manual quality checks, and create a prioritized roadmap with quick wins (e.g. service dispatch automation).
Due to the skilled labor shortage, rising service demands, and the EU AI Act:
it uncovers potential such as 15–25% OEE improvement or 40% shorter lead times — without risky experiments.
The on-site assessment takes 1–2 days.
A report on the status quo: current processes, revenue losses, bottlenecks, and ROI potential.
A roadmap: Quick Wins & Enablement and Build & Scale by ROI.
Yes, we incorporate governance, ethics, and risk assessment based on established frameworks such as MITRE or the Gartner AI Maturity Model.