Woodside says about 50 AI agents are already running in production across operating assets and enterprise workflows, marking a shift from small pilots to broader deployment.
A decade of work on operational data, predictive analytics and governance underpins that scale-up, with systems such as Startup Advisor helping LNG plant operators make faster, better-informed decisions.
Maintenance intelligence has shown potential to cut maintenance hours by up to 15% over five years on one pilot asset by combining equipment performance data with historical maintenance records.
Infosys, Woodside's managed service provider, is helping the company scale AI delivery and staffing while Woodside keeps control of strategy, governance and accountability for outcomes.
Woodside says its longer-term goal is an autonomous enterprise with connected agents embedded in core workflows, though it still sees lifecycle management and governance as key hurdles as deployments grow beyond 50.