Borouge Scales Industrial AI to Advance Its AI-Native Vision

New technology partnerships support a global rollout targeting $100 million in value generation by 2027.

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For petrochemical producers, AI has practical value when it helps plants run reliably and operators make better decisions. Extending those capabilities across a global manufacturing business requires a way to share technology and operating experience between sites.

Borouge International is making that expansion part of its ambition to become an AI-native company. Announced at ADIPEC on November 5, its latest program targets $100 million in value generation by 2027. It covers production, innovation, supply chains, logistics and customer engagement.

The group and its subsidiaries signed partnerships with Microsoft, Emerson, Immensa and Cognite to support the work.

Dr. Hasan Karam, Chief Operating Officer and executive sponsor for AI and digitalization, said:

“By combining the capabilities, technologies and expertise of our legacy companies, we can develop high-impact AI solutions once and scale them rapidly across our operations.”

Building a global operating model

The strategy comes as Borouge International integrates businesses across Europe, the Middle East and North America. Formed in 2026, the group brings together Borouge, Borealis and NOVA Chemicals. It is headquartered in Vienna, with a regional headquarters in Abu Dhabi.

The group produces polyolefins, including polyethylene and polypropylene. These materials are used in products ranging from packaging and pipes to components for vehicles and other manufactured goods.

Its manufacturing network spans 30 sites, and the company is targeting 13.8 million tonnes of annual capacity by 2030. A separate update on November 4 outlined expansion work in the UAE and Europe. That growing footprint makes the ability to transfer operational improvements between facilities commercially relevant.

The AI-native ambition gives that work a common direction. For a business combining several manufacturing networks, a shared technology approach could help turn experience at one plant into capabilities used elsewhere. It also creates a reason to consider AI when developing processes and choosing systems across the combined organization.

The intended applications extend into the work surrounding production. The company identifies machine learning for forecasting, digital twins for predictive maintenance and 3D printing for industrial parts. These tools could connect production decisions with the availability of materials and equipment.

From UAE plants to wider deployment

Borouge says its UAE real-time optimization system already covers three ethane crackers and 20 furnaces. It analyzes more than 2,500 operating parameters per minute. The aim is to turn live production data into faster operating decisions. The company plans to extend the technology internationally, including to North American sites.

Earlier work with Honeywell offers another example of the operating capabilities behind the strategy. In January, Borouge announced completion of an autonomous-operations proof of concept at its Ruwais facility. The project ran in a live production environment, building on trials conducted in 2025.

The company reported potential efficiency gains of up to 20%, a 20% reduction in downtime and operating-cost reductions of up to 15%. These figures describe the pilot's potential benefits.

Honeywell subsequently identified the platform as Experion Cognition. It combines process automation with AI to detect abnormal situations and support recommendations and automated decisions. Designed to integrate with existing control systems, it could help operators respond earlier and draw on experience embedded in the technology.

Borouge International's vision puts these initiatives within a broader effort to change how the business operates. The commercial opportunity is to make useful technology repeatable across its manufacturing network. Delivering that ambition will depend on turning experience from individual facilities into dependable capabilities at global scale.