AI is often discussed too narrowly in the sustainability context. Of course, AI can help draft reports, summarize information and automate communication tasks. These applications are useful, but they are not the strategic core. In sustainability, AI becomes relevant where complexity must be made visible: data quality checks, anomaly detection, scenario analysis, supply-chain risk assessment, regulatory classification, semantic structuring of sustainability information and the interpretation of large data spaces. In this context, AI is not just a productivity tool. It becomes part of a steering and decision-support system.

This Expert Session explores how AI is evolving from a productivity tool into a decision-support and steering system for sustainability and why trusted data, governance structures, process integration and clear decision logic are critical prerequisites for scalable AI adoption.

Target audience: Executive leaders, CIOs, data and AI leaders, sustainability executives, enterprise architects, transformation teams and functional leaders across Finance, Operations, Procurement and IT seeking to understand how AI can support scalable sustainability steering and decision-making.