Insights
Building the Autonomous Enterprise with AI
Woodside Energy is scaling artificial intelligence (AI) across its operations to improve decision-making, operational efficiency, and safety. In a Business Lab podcast hosted by MIT Technology Review Insights, Andrew Melouney, vice president for digital at Woodside Energy, shares how the company is building on years of investments in data, analytics, and governance to enable agentic AI and accelerate digital transformation.
Key Takeaways
Data as an Asset
Woodside has invested for years in operational data, enterprise-scale platforms, and governance. By treating data as a strategic asset and continuously ingesting information from assets and enterprise systems, the company has created a trusted foundation for AI innovation and adoption.
Maintenance Intelligence
Woodside uses predictive analytics and AI to optimize maintenance activities across operating assets. By analyzing maintenance records alongside equipment performance data, Maintenance Intelligence helps determine the optimal timing for maintenance activities, with the potential to reduce maintenance hours by up to 15%.
Agentic AI
Woodside’s Startup Advisor is an agentic AI solution that supports LNG plant operators during startup procedures. Acting as a copilot, it enables operators to review previous startups, analyze current conditions, and access insights that help improve reliability, consistency, and safety.
Think Big, Prototype Small, Scale Fast
Woodside’s AI strategy is guided by a philosophy of thinking big, prototyping small, and scaling fast. The company focuses on high-value opportunities, tests solutions on a small scale, and rapidly expands proven capabilities across the enterprise.
AI Governance
Every AI use case undergoes structured reviews covering privacy, cybersecurity, ethics, transparency, and accountability. Strong governance, leadership oversight, and lifecycle management help ensure AI solutions are deployed responsibly and can scale safely across the organization.
The Autonomous Enterprise
Woodside’s ambition is to build an autonomous enterprise where agents with agency interact with core workflows. Achieving this vision requires reimagining how work gets done, enabling the workforce with new skills, and connecting AI systems across the business.
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