AI for Offshore Energy Supply Chains

Webinar

Spend less time comparing suppliers and more applying procurement expertise.

57% of CPOs say siloed ways of working are the biggest barrier preventing procurement from delivering value.

Procurement is becoming an increasingly strategic capability across offshore energy. Complex international supply chains, constrained supplier capacity, cost pressures and geopolitical uncertainty mean procurement teams are balancing a growing range of commercial, contractual, technical, ESG and local content considerations.

In this webinar, Dr. Adam Sroka, CEO & Technical Co-Founder, and Dr. Ivona Voroneckaja, Product Owner at Hypercube, explore how AI can support more informed supplier evaluation in offshore energy and demonstrate Procurement Assist, showing how teams can bring supplier evidence, risks and key differences into focus while keeping procurement professionals firmly in control.

AI-supported procurement helps teams:

Evaluate submissions against defined criteria and identify material differences
Surface risks, gaps and supporting evidence, highlighting where evaluator judgement is required.
Maintain human control, auditability and traceability throughout the process
Free up procurement specialists’ time to focus on high-value evaluation activities.

Join this session to see how AI-supported procurement helps your team manage complexity and make more informed supplier decisions.

Key takeaways

CUT THROUGH SUPPLIER COMPLEXITY

Reduce time spent searching, comparing and reconciling supplier submissions.

STRENGTHEN SUPPLIER EVALUATION

Identify material differences, gaps and risks that require closer attention.

MAINTAIN OVERSIGHT AND AUDITABILITY

Keep supplier evaluations traceable and evidence-backed, with human judgement at the centre.

SPEAKERS

Dr. Adam Sroka

CEO & Technical Co-Founder

An experienced data and AI leader helping organisations unlock value from data by delivering enterprise-scale solutions and building high-performing data and analytics teams from the ground up.

Dr. Ivona Voroneckaja

Product Owner

With a strong foundation in statistics, data science and machine learning, Ivona brings together deep academic expertise and practical experience in AI. Before joining Hypercube, she spent over five years lecturing in Statistics at the University of Glasgow, where her work included research in machine learning. Today, as Product Owner for the CAIRN Decision Intelligence Platform, she applies that expertise to developing explainable, evidence-based AI products that support better decision-making in the energy sector.