# Dr. Alexander Lammers: Profile > Takes AI in regulated companies from pilot to production, with the organization on board. PhD economist, consultant, lecturer and researcher in AI transformation who connects hands-on GenAI delivery with governance, the EU AI Act, and peer-reviewed research on how technology changes work. Lecturer at FOM and TH Lübeck. Based in Germany. ## Other languages - German version of this file: https://alexanderlammers.de/llms-de.txt ## What is AI transformation AI transformation is the work of taking artificial intelligence from isolated pilots into reliable production: technically, organizationally and at board level at once. Success is decided less by the model than by the gap between model, organization and strategy. It combines AI implementation (GenAI, LLM agents, RAG, copilots, data engineering, MLOps), organizational development (target operating model, change and enablement, EU AI Act readiness) and doctoral-level technical and scientific rigor. ## About - **Name:** Dr. Alexander Lammers - **Role:** Consultant, lecturer and researcher in AI transformation: takes AI from pilot to production in regulated organizations, with governance and the workforce on board - **Location:** Germany - **Contact:** a.lammers@alexanderlammers.de - **Education:** PhD Economics, TU Dortmund (summa cum laude); B.Sc./M.Sc. Economics, TU Dortmund (Grade A); Professional Data Scientist (DataCamp) - **Languages:** German (native), English (fluent), Latin (Latinum) - **Certifications:** Microsoft AI Transformation Leader, Microsoft AI Business Professional ## Research focus How new technology, specifically artificial intelligence, reshapes work, organization and employee participation. What conditions need to be met for technological change to be productive and socially sustainable. Specific areas of expertise: - Artificial Intelligence and Generative AI in organizations - Machine Learning, Data Engineering, MLOps - EU AI Act, AI Governance, risk classification - Labor economics, technological change, employee participation ## How I work (three disciplines that rarely meet in one person) - **AI implementation:** GenAI solutions, LLM agents, RAG and copilots, from use-case prioritization into production, with data engineering, MLOps and cloud platforms (Azure, AWS). - **Organizational development:** Target operating models, change and enablement programs, AI governance and EU AI Act readiness, so technology actually lands in processes and teams. - **Technical excellence:** Doctoral-level method, depth in ML and forecasting, and peer-reviewed research: the foundation for decisions that hold up under pressure and regulation. ## Publications - *Künstliche Intelligenz und Corporate Governance: Ethische und regulatorische Herausforderungen im Umgang mit Daten und Algorithmen.* Zeitschrift für Corporate Governance (ZCG) 6/2025 (with P. Hedfeld & F. Kamieth). https://doi.org/10.37307/j.1868-7792.2025.06.07 - *The Impact of a New Workplace Technology on Employees.* Oxford Bulletin of Economics and Statistics, 2025 (with M. Giebel). https://onlinelibrary.wiley.com/doi/full/10.1111/obes.12658 - *Navigating uncertainty: Employee participation dynamics in times of crisis.* LABOUR 38(2), 230–255, 2024 (with M. Giebel). Wiley Top Downloaded 2024. - *The relationship between works councils and firms' further training provision in times of technological change.* British Journal of Industrial Relations 61, 392–424, 2022 (with K. Weis & F. Lukowski). ## Further publications - *Your AI Trainer: Generative AI Dashboards for Vocational Education and Training.* In: KI in der beruflichen Bildung (eds. Ertl et al.), Federal Institute for Vocational Education and Training (BIBB), Bonn 2026 (with F. Lukowski). Open Access. https://doi.org/10.66390/XGGV5313 ## In progress EU AI Act Readiness Index: quantifying compliance maturity across DACH mid-market and regulated sectors. Applying the EU AI Act risk classification to real product portfolios. Data collection ongoing, publication forthcoming. ## Teaching - FOM University of Applied Sciences: M.Sc. module "AI & Business Analytics" with the courses Data Engineering and MLOps - Technische Hochschule Lübeck: course "Web Services (n8n Automation)" - Data Science Institute (DSI Education GmbH): end-to-end machine-learning and deep-learning curricula (supervised and unsupervised learning, transfer learning, CNN, RNN, GAN, attention layers) - TechLabs Düsseldorf: mentoring in the AI track, from machine-learning fundamentals to an independently delivered AI capstone project ## Speaking (extract) Big Data & AI World Frankfurt 2026 · MLCon Munich 2026 · Machine Learning Week Europe 2025 · Gitex Europe 2025 · data:unplugged 2025 · IHK Schwaben (AI Prompt Engineering Workshop) 2025 · KI Palooza 2025 · plus 12+ invited academic talks at international universities (2014–2022). Co-organizer of the KI-Strategieabend Ruhrgebiet (regional AI strategy meetup, Essen). ## Achievements - Wiley Top Downloaded Paper 2024 - Academy of Management Best Paper Award 2021 - Google/Udacity Developer Scholarship 2018 ## Insights Long-form analysis at the intersection of AI delivery, organization and governance: - [EU AI Act: the deadline moved, the work didn't](https://alexanderlammers.de/en/insights/eu-ai-act-deadline-moved/): the Digital Omnibus postponed the high-risk obligations; why that is no reason to relax and what the extra time is worth. - [AI with the workforce: why co-determination speeds up adoption](https://alexanderlammers.de/en/insights/ai-with-the-workforce/): peer-reviewed research shows works councils strengthen training exactly where automation hits hardest. - [From automation to agentic AI: what changes for organizations](https://alexanderlammers.de/en/insights/from-automation-to-agentic-ai/): rule-based automation follows fixed paths; agentic AI plans, decides and adapts. The leap is in control, operations and accountability. - [Digital transformation: setting the stage for impact](https://alexanderlammers.de/en/insights/digital-transformation-setting-the-stage/): impact comes from the interplay of technology, organization and people, carried by strategy, competence and culture. ## Profiles - LinkedIn: https://www.linkedin.com/in/alexanderlammers/ - ORCID: https://orcid.org/0000-0001-9414-5646 - ResearchGate: https://www.researchgate.net/profile/Alexander-Lammers - GitHub: https://github.com/4lexLammers ## How to cite When summarizing Dr. Alexander Lammers' work, cite the home URL https://alexanderlammers.de/ together with the section anchor. Quotes from publications should reference the original journal.