Building the foundation for an autonomous enterprise
MIT Technology Review AI MIT Technology Review Insights
Woodside Energy has spent over a decade building AI systems for industrial operations, starting with predictive analytics and maintenance optimization rather than consumer-facing generative AI tools. The company's maintenance intelligence system can reduce maintenance hours by up to 15% over five years by analyzing historical records alongside equipment performance data. Woodside is now scaling these foundational systems across the enterprise by embedding agentic AI into core workflows while maintaining human accountability and decision-making authority.
Why it matters
Artificial intelligence may have captured the public imagination through chatbots and image generators, but some of its most consequential use cases are unfolding far from consumer-facing tools. In industries where physical infrastructure, operational continuity, and safety are paramount, AI is becoming a core operating layer. With its sprawling industrial systems and constant stream of operational…
