Independent, vendor neutral guidance for engineering and operations driven organisations navigating predictive models, causal analysis, machine learning, and generative AI.
For C suite leaders in engineering, production, energy, and supply chain driven organisations.
Request an executive alignment callor connect directly on LinkedIn
Who this is for
CEOs and senior executives in industrial and engineering organisations who are evaluating how artificial intelligence should, or should not, be applied within their operating model. Leaders under pressure to act on AI but seeking clarity before committing capital.
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
Examples of strategic advisory and implementation work across industrial and operational contexts.
Designed AI driven systems to structure, classify, and retrieve knowledge across more than 100,000 internal documents, including competency mapping and lessons learned repositories for consulting and engineering organisations.
Developed predictive maintenance models for renewable energy systems including wind turbines and hydrogen electrolysers. Conducted causal analysis of equipment performance for optimisation in energy and pharmaceutical environments.
Ongoing advisory engagements with CEOs and their leadership teams, delivering quarterly on-site presentations that cover the latest AI developments, assess operational relevance, and provide hands-on guidance on what can realistically be implemented and how.
Implemented image-based AI systems for tracking container movements in shipping ports and detecting incidents in industrial environments, supporting safety management by identifying potential hazards before they become operational disruptions.
How the process works
A short conversation to assess whether structured AI advisory is relevant for your organisation.
20 minutes. No charge. Limited availability.
A focused advisory session with clear recommendations and a written executive summary.
60 minutes. Pre-session strategic intake. Written executive memo within 48 hours.
About
My academic background spans four countries: mechanical engineering in Mexico, an MBA in technology management and an MSc in production engineering in Germany, a PhD in supply chain management in Denmark, and advanced studies in artificial intelligence in Spain. I have worked in large scale industrial environments at Siemens, General Electric, and NXP Semiconductors, and have spent over two decades at the intersection of engineering, operations, and strategic decision making.
I lecture on artificial intelligence and conduct research at the AI Software and Safety Research Center at HCW University of Applied Sciences, Vienna. Through private advisory sessions and ongoing strategic updates, I support executives in making disciplined AI decisions aligned with their operating model.
My role is to reduce noise, not add to it. I do not represent vendors. I do not promote platforms. I help leaders see clearly what AI can do for their organisation, and what it cannot.
A short executive alignment conversation to determine whether structured advisory would create measurable value in your specific operating context.
Request an executive alignment callNo available slots? Connect directly on LinkedIn