We show you where AI can save time in your product development: triaging requests, drafting reports and making engineering knowledge easier to find.
GDPR-compliant, processed in the EU.
No obligation. No sales pitch.
In the pilot, we measure the time saved on one process. We check the quality too.
Illustration of the principle · example drawing
20+ years of product development and leadership in industry · 20,000+ LinkedIn followers · GDPR-first
Estimate time savings
Founder of AImation
I spent 20 years working in automotive development and leading teams. Today, I bring that experience to AI projects for engineering businesses.
In our initial consultation, I'll look at a specific workflow from your engineering team with you.
More about my backgroundStart with the PM Demonstrator: project status, capacity and draft reports in one application. Each video shows 90 seconds of our own development work.
Work packages, schedules and capacity come together in one system. The video shows how they inform explained project indicators and a status report.
Shown in the video: AI risk radar and AI report drafts. This is a demonstration using fictional project data. Pilot scope, authentication and integrations need to be agreed.
PM Demonstrator: workflow and prerequisites →
Which combination is technically feasible? VariantHub checks features and rules, explains exclusions and shows the impact of a change before approval.
Developed with AI. The core uses deterministic rule checks. AI-generated rule suggestions are a planned extension. The video uses demo data.
VariantHub: workflow and prerequisites →
Which skills does the team hold, and where does knowledge depend on one person? Skillmatrix connects team coverage, knowledge risks and future requirements.
Developed with AI. The demonstration uses the fictional company Musterwerk Mechatronik. These views support skills planning, not individual performance evaluation.
Skillmatrix: workflow and prerequisites →
Own projects with demo data. The recordings show development stages, not customer references. Videos only load when you press play.
Collecting figures in Excel, updating status slides in PowerPoint, writing minutes after the meeting. The actual engineering work has to wait.
We look at these time-consuming tasks with your team and assess which preparation AI can take on. Figures, statements and decisions must remain verifiable.
Estimate time savingsExcel, PowerPoint and meeting follow-up: explore a practical workflow“We've always done it this way.”
Habit becomes a brake. Reports stay manual, knowledge stays in people's heads, and new approaches never even get considered.
Adjust the sliders or enter your figures. See the estimated annual value immediately, without registering.
Estimated annual value of regained time
20 hours available per week
How the estimate works
10 × 2 h × €35 × 52 weeks
Use a weekly average across the year, allowing for leave and other absences.Example values, not guaranteed savings. This values available working time. Setup, running costs and ramp-up time are included in the detailed ROI calculation.
All three figures are carried over. Detailed calculation from 0.5 hours per week.Time pressure, rework and tight budgets are connected. We assess an AI application against all three measures.
Pre-sort requests, flag missing information and prepare decision documents so your team can respond earlier.
How long does it take from receipt to a reviewed result? Where do delays remain?
At every stage, you know what happens, what you receive and what it costs. You decide whether to take the next step afterwards.
30 min
You know whether AI makes sense for your workflow.
We discuss a specific workflow and assess whether AI can help. You receive an honest assessment and a first step.
Free
1 day, report in 3 to 5 days
You receive 2 to 3 prioritized use cases with ROI estimates.
A workshop with your team. We check data and workflows, prioritize use cases and deliver a report with ROI estimates.
From €1,900
4 weeks
One process is automated. Time saved and quality are checked.
We automate one process and compare time spent and quality. You then decide whether to expand.
€4,900
2 to 12 weeks
An agreed workflow goes live. Your team retains final approval.
We connect the solution to your systems. From a workflow to an agent system, technical approval stays with your team.
From €5,000
Plus €200 to €800/month
Ongoing
Your solution receives ongoing support and adjustments as needed.
Holger Peschke remains your contact. We agree on questions, adjustments and new ideas as needed.
Time and materials
Already know which process to tackle? You can start directly with the pilot.
Training is available at any stage or as a standalone service. Explore training ↗
In a workshop with your team, we review your workflows, data and systems. You receive two to three prioritised use cases with an ROI estimate and a written report within three to five days.
More about the workshopIf the first workflow is already clear, you can start with the four-week pilot. We agree the scope, test with your data and compare time spent and result quality. You then decide whether to proceed.
More about implementationThe initial consultation takes 30 minutes and nothing more.
Book a free initial consultationAI takes on searching, sorting and drafting. Your team reviews results and makes the decisions. Here is how a process could change.
Search drawings, emails and reports separately.
Who remembers the original decision?
Check versions and rationale yourself.
Approved documents, respecting access permissions.
AI retrieves relevant passages with sources.
Your team checks evidence and currency.
Without reliable evidence, the question stays open.
We measure time saved and check result quality in your pilot.
All modules are freely combinable, depending on what you need.
Hands-on, based on your own tasks, in the language of engineers.
Six portal learning series. In-house workshops adapted to your team.
Possible workflows for your company. We agree the scope and expected outcome for your project.
2-day workshop for engineering teams and adjacent departments. Participants learn to work with LLMs such as ChatGPT, Claude, Microsoft Copilot, and Perplexity AI. From the basics to advanced prompt techniques for immediate results. Includes concrete use cases from the engineering day-to-day.
Every participant leaves with their own prompt toolkit for daily work
Hands-on workshop for process owners and teams. What is automation? How do classic workflows differ from AI-driven automation? Participants learn to spot automation potential and apply AI deliberately, from simple workflows to intelligent multi-agent systems.
Every team leaves the workshop with at least 3 automation use cases of its own
We determine your starting point and show you the path, instead of selling you the next tool.
Get your AI Landscape Map
Possible workflows for your company. We agree the scope and expected outcome for your project.
We record the tools, licences and data flows in use. Together with your IT team, we assess which applications suit design data, research and reporting.
Outcome: a reasoned selection and open questions for approval.
We compare suitable solutions against your tasks, such as drafting reports in Microsoft 365 or finding knowledge in approved documents. Cost, data access and operating model are part of the comparison.
Outcome: a decision brief with requirements and next steps.
We build systems that work every day, with your engineer as the final authority.
Have your first process automated
Possible workflows for your company. We agree the scope and expected outcome for your project.
An assistant searches approved specifications, test reports and lessons learned. It cites sources for its answers. Your team checks the sources and version.
In the pilot, we assess search time and answer quality using your documents.
A workflow sorts incoming enquiries by component, project and topic. Missing information is flagged. The responsible employee checks the assignment and approves the response.
In the pilot, we assess which enquiries can be assigned reliably and where follow-up questions remain necessary.
From the first requirement to a field complaint: explore selected tasks from our use-case catalogue. Start with the work that holds your team back.
A tour of 60 areas in product development and adjacent functions. See the catalogue, our own tools and how we assess ideas.
Choose a development phase below and explore an application.
The catalogue contains application ideas, not 639 delivered customer projects. The video loads only when you press play.
Select an example
Check drawings against a checklist. Flag missing datums and conflicting specifications with their location.
Design engineers retain approval responsibility.
Explore tools for research and knowledge work. Training builds skills; implementing the workflow is a separate step.
12 selected examples from the catalogue, as of September 2026. These are application ideas, not 639 delivered projects. Feasibility depends on your data and process.
The KI-Landkarte workshop selects and prioritises suitable cases for your business.
More detailed use casesExplore our AI tools for root-cause analysis, simulation data and idea evaluation. The original screenshots show their current development stages.
An AI coach guides root-cause analysis and asks follow-up questions. The example shows a broken snap-fit on an assembly line.
The team confirms the root cause and corrective action.
Original screenshot · own projectA tool for querying and visualising your own simulation data. Shown here: von Mises stress in a sample component.
Load cases, model assumptions and approval remain the analyst’s responsibility.
Original screenshot · own projectAn optimist, a realist and a critical counterpart develop an idea and debate its weaknesses. The screenshot shows a debate assessment.
Scores support discussion. You decide which idea to pursue.
Original screenshot · own projectA look at our own development work. The examples are not customer references or evidence of a guaranteed time saving.Explore application ideasExperience how your team learns to work with AI
These are some of the tools we work with. We assess their suitability against your tasks, data and existing systems. Access rights and the operating model are part of the selection.
Article 4 requires AI providers and deployers to support the development of AI literacy. Measures should reflect the systems in use, the tasks and the team's existing knowledge. No specific certificate is required.
Source: European Commission, questions and answers on Article 4You 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: clear scope, agreed prices and an initial pilot in four weeks.
Training, consulting, implementation from one hand. One contact, one call.
For knowledge management projects, we use the U-KNOW.AI platform: answers with source citations your team can check. On-premises deployment is also possible. We establish access rights, data protection requirements and the operating model for your project.
Visit U-KNOW.AI
Holger Peschke is a member of KI Bundesverband e.V., the network for companies and experts in artificial intelligence in Germany.
Visit KI Bundesverband
Holger Peschke is a member of Beraterkompetenz Oberfranken e.V., a network of independent consultants in the Upper Franconia region.
Visit Beraterkompetenz OberfrankenAnswers to the most important questions
Your data is processed GDPR-compliant in the EU and is not used to train AI models. A data processing agreement is a matter of course. Projects under confidentiality we treat as exactly that: confidential. Which architecture is right in each case, we clarify before the project, not during.
Yes, that is not an option for us but a starting point. We select tools and architectures so that processing takes place in the EU and is transparently documented. If a desired tool cannot deliver that, we say so and suggest an alternative.
Usually yes. We connect to what you already have instead of building new island solutions. What is possible in each case, we clarify in the initial call. And if something is not possible, we tell you upfront.
No. It replaces the routine work that keeps your engineers from actually engineering: sorting, searching, writing things up. The expert judgement and the final sign-off always stay with the human. That is how we build every solution.
For the AI Landscape Map, you receive a report with prioritised use cases 3 to 5 days after the workshop. In the four-week pilot, we test one process with your data for time savings and output quality. Together, we document the steps needed before production use.
The AI Landscape Map starts at 1,900 euros for one workshop day. The four-week pilot costs 4,900 euros. Implementation starts at 5,000 euros, plus 200 to 800 euros per month. We agree the scope and price before starting.
Automation follows fixed rules: if A happens, do B. An AI agent can go further — independently researching, evaluating, and drafting proposals. For example: reading a technical request, gathering context from your systems, and presenting a draft reply. The approval stays with your team.
30-minute conversation. You get a concrete first step, even if we never work together afterwards.
Free, no obligation. Holger Peschke replies personally.
2 minutes, no prior knowledge needed
