Executive education, in-house
Compact, decision-oriented sessions for leadership teams — AI governance, sustainability regulation and compliance strategy taught the way I teach EMBA classes: on your cases, not textbook ones.
Academic researcher and practitioner bridging artificial intelligence with sustainability strategy and regulatory compliance for a resilient future.
“I don't just teach theory — I bring 17 years of boardroom experience into the classroom, and the latest research back into business.”
Organisations come here when a question sits between disciplines: what the EU AI Act means for a data platform, how CSRD reshapes an operating model, where supply-chain decisions meet ESG scrutiny. I work on exactly those intersections — as a researcher who publishes in them and a practitioner who has led them in industry.
Compact, decision-oriented sessions for leadership teams — AI governance, sustainability regulation and compliance strategy taught the way I teach EMBA classes: on your cases, not textbook ones.
A research-grounded second opinion on AI, ESG and compliance decisions — regulatory readiness, governance design, reporting strategy — delivered as an independent academic voice at the table.
Conference keynotes and board briefings on where AI, sustainability and regulation are heading — and what that direction means for your sector.
A note on how this practice works: my day-to-day home is Lingaro Group, where I lead a practice serving Fortune-listed organisations. Independent engagements are deliberately complementary to that work — education, research perspective and independent expertise, not a competing delivery organisation.
Business schools use the term practicing academic for faculty who carry live industry practice into the classroom. That is the offer: courses on AI, sustainability and compliance taught by someone who advises on them the other four days of the week — university professor at Paris School of Business and IPAG Business School, academic lecturer at UNS (University of Applied Sciences in Łódź) and VIZJA University.
An EMBA course integrating artificial intelligence with Industry 5.0 regulatory frameworks. Taught at several universities in a short or extended version, it equips future leaders with the knowledge and practical skills to navigate the intersection of AI, compliance, and sustainable business.
How artificial intelligence reshapes the compliance landscape — the EU AI Act, algorithmic governance, and responsible AI frameworks.
AI applied to actual compliance scenarios: case studies, simulations and hands-on projects — not theory in a vacuum.
Preparing leaders for human-centric, sustainable and resilient industry — balancing technology with human values.
Semester courses, intensive workshop blocks, and EMBA modules — the same material scales from a guest intensive to a full elective.
Classes run on live regulatory cases and current industry practice, with interactive exercises rather than lecture-only delivery.
Course outlines, materials and assessment designed and delivered end-to-end; taught in English.
Triple doctorate holder (PhD, LLD, DBA) with 17 years of international experience in the intersection of artificial intelligence, sustainability, and regulatory compliance.
My career began in operations and strategic management — restructuring supply chains, leading logistics turnarounds, and driving international growth for companies across Europe. That hands-on operational foundation is what I now bring to sustainability strategy and AI-driven compliance, having created and scaled a dedicated practice serving Fortune-listed organizations at Lingaro Group. I bring boardroom insight into academic teaching, ensuring students engage with real-world scenarios, not theoretical abstractions.
My work moves between enterprise consulting, executive education, and independent advisory — bridging the gap between what regulators demand and what organizations can realistically deliver. I work with organizations navigating the AI revolution, sustainability regulation — from CSRD and GRI to the EU AI Act and PPWR — and the broader shift toward accountable, data-driven governance.
My teaching philosophy: merge 17 years of international business experience with cutting-edge research. My students don't just learn frameworks — they learn to think critically about technology's role in building a sustainable, compliant, and human-centered future.
Get in touch →Four interconnected pillars that define my academic and professional focus.
CSRD reporting, GRI standards, CDP assessments, TCFD frameworks, ISSB standards, environmental impact assessment, lifecycle assessment (LCA) modeling, and materiality analysis for global organizations.
EU AI Act governance, algorithmic compliance, AI-driven ESG systems, machine learning pipeline validation, responsible AI principles, and regulatory readiness for AI-enabled organizations.
Sustainable logistics, circular economy principles, responsible sourcing, PPWR (Packaging and Packaging Waste Regulation), supply chain transparency, and supply chain due diligence.
GDPR compliance, quality management systems (ISO 9001), legal compliance frameworks, data governance, risk management, and organizational compliance maturity modeling.
Writing on sustainability, AI governance, and the future of compliance now lives on its own site — doctor.eco.
The EU AI Act is now enforceable, and organizations must understand their obligations. Risk classification, compliance timelines, and what it means for your AI governance strategy.
The Corporate Sustainability Reporting Directive is reshaping how organizations measure and communicate environmental impact.
From automated monitoring to predictive compliance, AI is transforming how organizations manage risk.
Two conversations start here: organisations exploring advisory or executive education, and universities looking for a practicing academic.
One address for both — the subject line routes it: mateusz@panek.phd