CBAM and Artificial Intelligence: Arkon Omnia Leading the Sustainable Transition of SMEs Towards 2026

Prof. Mario Giovanni Figlioli — MARKETING AND BUSINESS — KULASSA | HERMES UNIVERSITY | INFINITY | ARKON OMNIA | RETE PUNICA

The European Union’s decision to implement the Carbon Border Adjustment Mechanism (CBAM) from January 1st, 2026 marks a pivotal shift in international trade. This new regulation will heavily impact the importation of carbon-intensive goods, such as steel, aluminum, cement, electricity, hydrogen, and fertilizers, and will require European and non-European companies alike to comply with rigorous sustainability and emissions documentation.

A Strategic Opportunity for SMEs, Not Just a Challenge

For small and medium-sized enterprises (SMEs), CBAM is not merely a compliance challenge—it is a strategic opportunity. Arkon Omnia positions itself as a knowledge-based partner for companies navigating this shift, combining high-level training, digital innovation, and strategic consulting.

Backed by SKILLOMNIA, our advanced training platform, and in collaboration with institutions like Hermes University, we offer cutting-edge programs that integrate sustainability (ESG) and artificial intelligence (AI) to ensure enterprises remain competitive and compliant in a rapidly changing market.


AI: The Game-Changer in CBAM Compliance

Artificial Intelligence is revolutionizing how companies prepare for CBAM. At Arkon Omnia, we leverage AI in several critical areas:

  • Automated tracking of carbon emissions across the supply chain
  • Smart documentation management for certifications, environmental reporting, and financial planning
  • Simulation of economic impacts and risk analysis
  • Strategic dashboards to support data-driven decisions and CBAM-readiness

These solutions are embedded in our “Challenge ESG + AI” masterclasses, equipping business leaders with practical tools to turn sustainability obligations into growth levers​.


Arkon Omnia’s Ecosystem Approach

With our advisory, training, and innovation ecosystem, we help companies to:

  • Identify if their products fall within CBAM regulation
  • Simulate the potential impact using AI-powered tools
  • Prepare and submit accurate ESG and carbon-related documentation
  • Develop international market entry strategies through our “Destination Export” and “Modular Executive Master” programs​

Moreover, we guide executives through the legal and ethical responsibilities introduced by AI and ESG frameworks, preparing them for governance evolution in a sustainable economy.


How to Prepare Today for 2026

Businesses must act now:

  1. Map out carbon-intensive products in your value chain
  2. Start data collection and traceability mechanisms
  3. Participate in tailored training paths such as Lean Tech Evolution: AI & Blockchain and Challenge ESG + AI by Arkon Omnia
  4. Use our strategic consulting service to design a compliance roadmap

Why Choose Arkon Omnia

At Arkon Omnia, we believe in competence, reliability, collaboration, and innovation—the four pillars of our brand identity​. Through our modular training approach, our clients gain measurable results in operational efficiency, legal compliance, and market positioning.

Whether you’re a startup, scaleup, or established enterprise, our programs are designed to:

  • Boost competitiveness
  • Attract international stakeholders
  • Secure sustainability certifications
  • Accelerate your digital and green transformation

Join the Leaders of Change

CBAM is more than a regulatory shift—it’s the gateway to a new economic paradigm. With AI and ESG integration, Arkon Omnia empowers companies to be proactive agents of change—ready to lead, not follow.

📩 Contact us today at info@arkonomnia.it to access exclusive programs and build your future-proof sustainability strategy.


Prof. Mario Giovanni Figlioli
International Business Strategist, Marketing & Finance Expert, Blockchain & Crypto Innovator, Author & Speaker
CMO Arkon Omnia | Board Member

Leave a Comment

Your email address will not be published. Required fields are marked *