Your most experienced engineer is retiring. Their knowledge does not have to leave with them.
We go inside your engineering and show you exactly where AI actually makes a difference, even where knowledge lives only in the heads of two or three people. Requests sort themselves, reports write themselves almost automatically. GDPR-compliant, processed in the EU.
Free, 30 minutes, no sales pitch.
20+ years of product development and leadership in industry · 20,000+ LinkedIn followers · GDPR-first
Does any of this sound familiar ?
These six sentences come up in almost every conversation we have with engineering managers. None of them need to be true in 2026.
If you are an engineering manager, CTO, or technical CEO: you recognise at least three of them.
Knowledge loss
When your most experienced engineer retires, three decades of project knowledge go with them. Almost none of it is documented.
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Reporting work
You hired your engineers to engineer. On Fridays they write reports, meeting minutes, and status slides.
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Requests and changes
Technical requests and change orders reach the right colleague. They get answered when day-to-day operations allow it. Which is often too late.
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Searching instead of finding
Requirements specs, meeting minutes, lessons learned: spread across five systems. What gets found is what someone happens to remember. Mistakes repeat themselves.
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Manual research
Standards, patents, competitors: every research effort starts from scratch, and nobody knows whether it is complete.
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Falling behind
While you are still checking whether AI is safe with your data, your competitor is already automating their development. The safety question has long been solvable: GDPR-compliant, hosted in the EU.
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The first step: your AI Landscape Map
One workshop day with your team. We collect your engineering pain points, check your data and systems landscape, and prioritize the 2 to 3 use cases with the best ratio of effort to impact, each with an ROI estimate. You can present the result to your management. Fixed price, one day, no project commitment.
From Chaos to Control
QCT, quality, cost, timing: the steering triangle of every engineering department.
Every solution pays into the three accounts by which engineering is measured: quality, cost, timing.
Before: Knowledge in people's heads
When someone leaves, they take what was never written down
- Three decades of project experience sit in one person.
- Reports and minutes are scattered across five systems.
- Retirement is when the great reconstruction begins, or old mistakes repeat.
After: Knowledge in the system
Mistakes do not repeat themselves
- Reports, minutes, and decisions are automatically tagged and linked.
- Every question answered in seconds, with a source reference.
- The expert reviews and adds to it, instead of documenting everything themselves.
- Every answered question makes the knowledge base better.
Ten minutes is usually enough to find similar potential in your processes.
How straightforward getting started is
From the first call to delivery. Transparent and structured.
Initial call
30 minutes, free
You tell me where the friction is. I tell you honestly whether AI helps, and if not, that too.
AI Landscape Map
1 workshop day
One workshop day with your team. Result: 2 to 3 prioritized use cases with an ROI estimate, ready to present internally. "We should do something with AI" becomes a plan with a price tag.
Pilot
One process gets automated
One process, chosen by you, gets automated. Fixed price, clear timeframe, defined outcome. Afterwards you decide whether to build on it.
Implementation
Agent systems
From a single workflow to a multi-agent system built on your company knowledge. Final sign-off always stays with your engineer.
Ongoing support
Long-term partnership
After go-live I remain your contact for questions, adjustments, and new ideas.
Initial call
30 minutes, free
You tell me where the friction is. I tell you honestly whether AI helps, and if not, that too.
AI Landscape Map
1 workshop day
One workshop day with your team. Result: 2 to 3 prioritized use cases with an ROI estimate, ready to present internally. "We should do something with AI" becomes a plan with a price tag.
Pilot
One process gets automated
One process, chosen by you, gets automated. Fixed price, clear timeframe, defined outcome. Afterwards you decide whether to build on it.
Implementation
Agent systems
From a single workflow to a multi-agent system built on your company knowledge. Final sign-off always stays with your engineer.
Ongoing support
Long-term partnership
After go-live I remain your contact for questions, adjustments, and new ideas.
The initial consultation takes 30 minutes and nothing more.
Book a free initial consultationThe smallest sensible start: a pilot
You already know exactly which process costs you time every week? Then you can skip the landscape map and start directly with a pilot. We take that one process and automate it. Fixed price, clear timeline, defined outcome. Then you decide whether more follows. And if the pilot shows that AI brings nothing for your case, you will know that too. Then this insight cost you exactly one pilot, not an annual budget.
- ✓One process, chosen by you
- ✓Fixed price 4,900 euros, 4-week timeline
- ✓Your data stays in the EU, GDPR-compliant
Free, 15 minutes, no sales pitch.
Three paths, one goal: faster engineering
All modules are freely combinable, depending on what you need.
What AI automation looks like in practice
Use cases from the engineering day-to-day: from patent research to project reviews.
Technology Scouting
Continuous monitoring of technology trends and innovations. Filters relevant developments out of journals, papers and news and flags what affects your products.
Meetings without the minutes effort
Meeting transcripts automatically sorted into to-dos, insights and open points. Stored for semantic search.
Review concepts from multiple angles
AI agents examine ideas from different perspectives. Analyses concepts systematically, extendable with the Six Thinking Hats method for thorough idea validation.
Do you have a similar use case in mind?
Book a free initial consultationEvery promise here I built for myself first
AImation does not sell anything that is not in daily use at AImation itself: the knowledge graph answers my questions about old projects. The research agent delivers weekly technology updates. The request classifier sorts my inbox. In the initial consultation, I show you these systems live, on real data, not on slides.
We work with the best tools
We are not tied to any vendor. We find what fits your situation because we know all the relevant tools and use them every day. When choosing, performance always matters, but so does whether a tool can be operated in a GDPR-compliant way. When in doubt, the EU-capable option wins.
By the way: the EU AI Act already applies
Since February 2025, Article 4 requires demonstrable AI literacy from employees who use AI. Since August 2026, penalties are enforceable. No reason to panic, but a good reason not to push training into next year.
About us
20 years of product development. No armchair consultant.
Two worlds in one person.
No translation needed.
You know the problem with consultants: some understand AI but not your development processes. Others know your world but bring someone else in for AI. With me you get both in one person.
For 20 years I worked in product development myself and led teams. I know where time is really lost in an engineering department, because I sat in exactly those places myself: in project reviews, in change loops, searching for that one report from three years ago. And AI has been my passion for years, not just since the hype. That combination is AImation: I translate between your engineering world and the AI world. You do not need an interpreter in between.
Who I am in 4 sentences
I know your processes, not from books, but because I lived them myself for 20 years.
If AI does not make sense for you, I will tell you that. Even if it costs me the project.
Built for the Mittelstand: fixed prices, short timelines, running next week instead of next quarter.
Training, consulting, implementation from one hand. One contact, one call.
U-KNOW.AI
For knowledge management projects, we use the U-KNOW.AI platform. It prepares company data in stages before the AI accesses it: answers with source citations instead of hallucinations, GDPR-compliant, available on-premises too.
Visit U-KNOW.AIFrequently asked questions
Answers to the most important questions
Ihre Daten werden DSGVO-konform in der EU verarbeitet und nicht zum Training von KI-Modellen verwendet. Ein Auftragsverarbeitungsvertrag (AV-Vertrag) liegt unterschriftsreif bereit. Und Projekte unter Geheimhaltung behandeln wir wie das, was sie sind: vertraulich. Welche Architektur im Einzelfall passt, klären wir vor dem Projekt, nicht währenddessen.
Ja, das ist bei uns keine Option, sondern Auswahlkriterium für jedes Tool: Verarbeitung in der EU, herstellerneutral, nachvollziehbar dokumentiert. Der AV-Vertrag liegt unterschriftsreif bereit. Wenn ein gewünschtes Werkzeug das nicht hergibt, sagen wir es und schlagen eine Alternative vor.
In der Regel ja, über Standard-Schnittstellen. Wir docken an das an, was Sie haben, statt neue Insellösungen zu bauen. Genau das prüft der Realitäts-Check der KI-Landkarte, bevor Geld in die Umsetzung fließt. Und wenn etwas nicht geht, sagen wir Ihnen das vorher.
Nein. Human in the Loop ist nicht optional: Die letzte Freigabe bleibt immer beim Ingenieur. KI übernimmt die Fleißarbeit, die Ihre Ingenieure vom Entwickeln abhält: Sortieren, Suchen, Zusammenschreiben, nicht die Entscheidungen. Für Gespräche mit dem Betriebsrat stelle ich Unterlagen bereit.
Die KI-Landkarte liefert nach einem Workshop-Tag plus 3 bis 5 Tage einen Bericht mit priorisierten Use Cases. Der Pilot ist in 4 Wochen produktiv. Schulungsinhalte sind am nächsten Arbeitstag anwendbar. Sie warten also nie länger als ein paar Tage auf ein erstes greifbares Ergebnis.
Die KI-Landkarte kostet ab 1.900 Euro Festpreis für einen Workshop-Tag. Der Pilot liegt bei 4.900 Euro für vier Wochen. Umsetzung startet ab 5.000 Euro, abhängig vom Agenten-Typ, plus 200 bis 800 Euro laufende Kosten im Monat. Sie erfahren den Preis vorher, nicht hinterher, keine ausweichende Antwort.
Eine Automatisierung folgt festen Regeln: Wenn A passiert, tue B. Ein KI-Agent kann darüber hinaus selbst recherchieren, bewerten und Vorschläge erarbeiten, etwa eine technische Anfrage lesen, den Kontext aus Ihren Systemen sammeln und einen Antwortentwurf vorlegen. Die Freigabe bleibt bei Ihrem Team. Mehr dazu auf der Seite zu KI-Agenten.
Find out where your engineering is losing time.
30-minute conversation. You get a concrete first step, even if we never work together afterwards.
Free, no obligation, answer from me personally.
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2 minutes, no prior knowledge needed