Independent, vendor neutral guidance for leaders and professionals in engineering, production, energy, and supply chain driven organisations, covering both strategic AI decisions and hands-on tool use.
No vendors. No hype. Just structured guidance aligned with your actual work.
Request a callor connect directly on LinkedIn
Who this is for
CEOs, directors, and department heads in industrial and engineering organisations who need to evaluate where AI creates value before committing capital or restructuring teams. You want an independent view, not a vendor pitch.
Contract managers, project engineers, procurement leads, operations coordinators. You work with contracts, proposals, specifications, and data every day, and you want to know what AI tools can do for your actual tasks. Safely, practically, and on your own terms.
Why this matters
Artificial intelligence is advancing rapidly. Predictive models, causal analysis, machine learning, and generative AI each serve different purposes. When these distinctions are not understood, organisations invest in initiatives that introduce operational complexity rather than leverage.
AI project failure rates
Sources: MIT NANDA, The GenAI Divide: State of AI in Business 2025 · RAND Corporation, The Root Causes of Failure for AI Projects, 2024 · S&P Global Market Intelligence, 2025
Most AI advisory is driven by vendors promoting their own solutions. My role is different. I provide a structured, independent assessment of where AI genuinely creates value in your specific operating context, and where it does not.
What I do
Selected engagements
Designed AI driven systems to structure, classify, and retrieve knowledge across more than 100,000 internal documents, including competency mapping and lessons learned repositories.
Developed predictive maintenance models for renewable energy systems including wind turbines and hydrogen electrolysers. Conducted causal analysis of equipment performance for optimisation.
Personalised sessions working on actual contracts, supplier proposals, and technical documents. Participants leave with reusable workflows they can apply independently from the next working day.
Ongoing advisory with leadership teams, delivering quarterly presentations that cover the latest AI developments, assess operational relevance, and provide guidance on what can realistically be implemented.
How it works
Every engagement begins the same way. What follows depends on what you actually need.
A short conversation to understand your situation and determine which form of guidance fits: strategic advisory, hands-on consultation, or both.
20 minutes. No charge. No commitment.
Then, depending on your situation
For leaders evaluating AI investments, organisational readiness, or vendor proposals. A focused session producing a written assessment with concrete recommendations aligned with your operating context.
60 to 90 minutes. Written deliverable included.
For professionals who work with contracts, proposals, specifications, or technical documents daily. Two sessions: first, foundations and a live demonstration using your own documents. Then, two weeks later, workflow design and reusable templates for your recurring tasks.
Two sessions of 90 minutes each. Optional follow-up available.
About
I have spent most of my career inside the systems I now advise on. Production lines at Siemens, operations at General Electric, semiconductor manufacturing at NXP. What I saw repeatedly was that the hardest part of adopting new technology was never the technology itself. It was the gap between what vendors promised and what the organisation could actually absorb.
That observation eventually became the focus of my research. I lecture on artificial intelligence and conduct research at the AI Software and Safety Research Center at HCW University of Applied Sciences, Vienna. My academic path spans four countries and four disciplines: mechanical engineering, production engineering, technology management, and supply chain management, with advanced studies in AI.
I started this practice because the people making AI decisions in industrial organisations deserve the same quality of independent advice that exists in finance or law: structured, evidence based, and free from the incentive to sell a product.
Whether you need strategic clarity before committing capital, or practical guidance on using AI tools in your daily work, the first step is a short conversation.
Request a callOr connect directly on LinkedIn