2025 was a pivotal year in OMV’s digital transformation journey. Artificial intelligence (AI) is now firmly established as a core driver of our Digital Strategy, underpinning our ambition to deliver sustainable growth and operational excellence. Building on the strong foundation of previous years, OMV has rapidly scaled up its AI capabilities – moving from business-specific machine learning use cases and early Generative AI (GenAI) pilots to enterprise-wide adoption. In 2025, we not only broadened the scope of AI applications but also embedded AI more deeply into our culture, platforms, and daily operations, delivering tangible value across the entire Group.
Empowering Every Employee: the AI Hub
An important enabler of this transformation is the OMV AI Hub, launched in 2025 as the single entry point for Generative AI chatbots, assistants, and agents. The AI Hub provides secure, centralized access to a growing suite of intelligent tools and learning resources, all built on Microsoft Azure and fully integrated into OMV’s digital environment. This ensures enterprise-grade data protection and compliance, while democratizing AI for all employees.
The impact is clear: our in-house GPT assistant is now actively used by more than 2,500 employees each month, supporting rapid document analysis and information retrieval. The Regulations Assistant streamlines day-to-day work by guiding colleagues through over 1,500 internal regulations and procedures. With a growing library of AI applications, curated prompts, and continuous upskilling opportunities, the AI Hub is accelerating our digital transformation and embedding an “AI-first” mindset throughout OMV.
Building an AI-Literate Workforce
Our commitment to digital upskilling is reflected in the numbers: more than 10,000 colleagues have participated in GenAI workshops and training – doubling last year’s reach. Asking “Can AI help me with this?” is now second nature across OMV, supporting innovation and efficiency at every level. This cultural shift is supported by a holistic, impact-driven approach to AI adoption. OMV now has more than 50 AI projects in use (up from 25 in 2024), with more than 40 additional projects in active development and a pipeline of more than 210 new ideas. Our “buy before build” philosophy and strategic partnerships with Microsoft, SAP, Salesforce, and SLB (formerly known as Schlumberger) enable us to scale and customize AI solutions rapidly across business areas.
AI Across the Value Chain: Delivering Business Value
OMV prioritizes artificial intelligence use cases that deliver the greatest strategic and financial impact, support the energy transition, and strengthen operational excellence. The following examples illustrate how OMV is leveraging AI across the value chain.
AI in Energy: Driving Efficiency and Sustainability
The Energy segment is harnessing the potential of AI. One example of this is the Norwegian AI Companion (NAIC), which delivers fast, integrated responses to complex geological, geoscientific, and petroleum engineering inquiries related to the Norwegian Continental Shelf. The NAIC uses more than 2.5 mn pages of public and internal OMV geology, geophysics, and reports to provide concise, actionable insights. This enables engineering teams to focus on technical work and strengthens OMV’s ability to operate efficiently and safely in one of the world’s most complex energy environments.
We are also testing agent-based AI technology to optimize field development in low-carbon projects in partnership with Stanford University and TerraAI. This technology is enhancing decision-making and safety in low-carbon initiatives in Norway. Early results indicate that it can increase project value and reduce subsurface risks, making low-carbon solutions more efficient and safe.
In Well Engineering, we introduced iDEA, a knowledge-based system that supports drilling engineers in designing optimized drilling programs. By identifying global analogues and lessons learned, iDEA helps avoid recurring issues and associated costs. This real-time tool connects active well design work to OMV and OMV Petrom’s global experience, delivering timely insights that automate corporate learning. Reducing time spent on manual data searches allows engineers to focus on technical execution, and operations benefit from faster, smarter decisions.
In Romania, we are piloting a machine learning solution for root cause analysis to enhance monitoring of critical well failures and process interventions. By analyzing historical pump operation and event data, the model predicts potential failures up to ninety days in advance. This supports proactive maintenance planning and minimizes operational downtime.
AI in Fuels: Optimizing Operations and Customer Experience
Over the last six years, the Automation team in the Fuels segment has automated more than 300 processes and delivered benefits of over EUR 7 mn in year-on-year savings by using software robots to perform repetitive tasks and reduce manual work, enabled by AI capabilities. One example is automation that consolidates smart meter readings for all filling stations in Austria from various energy supplier portals, freeing up more than 1,300 hours per year with a monetary value of EUR 140,000. Another example is logistics automation that manages changes in train delivery schedules, which frees up 1,000 hours per year with a monetary value of EUR 110,000.
AI in Chemicals: Empowering Employees and Embedding AI in Core Processes
In the Chemicals segment, Borealis has invested in AI literacy programs, digital citizenship development initiatives, and a “Digital Workforce” model, which aims to equip employees with future-ready skills and encourages the responsible use of digital technologies. Moreover, structured programs foster creativity and accelerate time-to-market for new solutions, thereby enhancing operational efficiency.
Under the Borealis corporate motto “AI Everywhere: From Vision to Impact,” AI is being embedded ever deeper in core processes to unlock measurable business value. Over 100 AI use cases have been identified and prioritized across operations, supply chains, customer engagement, and sustainability-related endeavors. Benefits already delivered include cost optimization, improved decision-making processes, and enhanced productivity. Good governance is a central tenet of “AI Everywhere”: Borealis complies with the EU’s AI Act and upholds the principles of responsible AI, including transparency, fairness, and privacy. Keeping humans in the loop ensures the ethical and accountable deployment of AI.
Other Digitalization Initiatives
Aside from its AI projects, OMV has undertaken several digitalization initiatives. One such initiative is the Renewable Tracing Platform, which is a mass balancing and digital workflow solution that enables OMV to issue certificates for renewable fuels. The platform checks that incoming and outgoing deliveries are linked to their renewables certificates. The data captured also facilitates several sustainability reporting obligations. Customers have an audit-proof solution that they can trust because the biobased content of fuel is fully traceable throughout the value chain. In 2025, we reduced manual steps by building several digital connections to internal and external systems and databases, and the tool has processed over 7,000 certificates.
In addition, electronic shelf labels in Retail have been rolled out to 100 filling stations. Retail shops can digitally implement competitive and promotional pricing, making the most of peak demand times and driving up sales by 5%. The solution also frees up staff to provide a smooth customer experience and reduces product and paper waste by up to 25%. The project will be rolled out to the remaining OMV filling stations in Romania and will be implemented in Hungary and Slovakia.
OMV also supports digital touchpoints with customers and users, including websites, mobile apps, outdoor payment terminals, and customer portals. OMV has developed a library of design elements and user flows that ensures branding consistency and accelerates the introduction of new user-friendly features. For example, this solution enabled the rapid development of an app prototype in one day. The approach has saved approximately EUR 1.3 mn by reducing reliance on external suppliers.
For EV drivers, OMV has reduced friction in payment processes, which is a key competitive differentiator. Many drivers use several mobile applications for different charging services. OMV has enabled direct transactions with other market participants so that EV drivers can use different networks and pay using a single account or app. This approach reduces direct costs and increases value chain transparency, resulting in more competitive pricing to customers and partners, improved margins, and increased transaction volumes.
Other examples include the Work Clearance Management tool, which is a cross-site work permit system implemented in the Schwechat refinery and the Tank Farms in Lobau and St. Valentin in 2025. The tool digitalizes and streamlines the work permit process for maintenance and repair activities. In addition to reducing administration, it strengthens safety and compliance. The tool relies on seamless digital connections to several processes and includes features such as electronic signatures, QR code scanning, and automated workflows. OMV and contractor staff are supported with a strict system to comply with all Health, Safety, Security, and Environment (HSSE) and legal requirements to ensure safe and reliable work at OMV refineries.
Responsible AI and Digital Security
OMV’s commitment to trustworthy and ethical AI remains foundational. OMV adheres to robust governance aligned with the EU AI Act, focusing on data privacy, bias prevention, and explainability. OMV’s ISO/IEC 27001:2022-certified Information Security Management System and dedicated AI security framework ensure that all AI applications are deployed safely and responsibly, with regular external audits helping us maintain the highest standards.