Autonomous Asset Management
Streamline asset management with AI
Optimise performance, cost, and operational risk across assets while improving workforce efficiency, safety, and compliance with AI assistants and agents that enhance decision-making and automate lifecycle processes.
Autonomous Asset Management
Orchestrate the full asset management lifecycle from acquisition to decommission by combining AI, knowledge graphs, end-to-end automation, asset orchestration, maintenance activities, health and safety, and connected supply chains to optimise financial returns and reduce operational risk.
Reduce unplanned downtime with AI agents that speed plan-to-repair.
Predict failures early and automate plan-to-repair to cut outages and restore production faster.
Lower maintenance costs with AI-optimised asset strategy and planning
Balance downtime, labour, and parts costs to recommend the lowest-cost maintenance plan.
Balance risk, cost, and reliability with a data-driven asset strategy
Analyse criticality, safety and cost tradeoffs to recommend the optimal maintenance strategy per asset.
Speed up work order and schedule creation with agents that streamline work
Auto-create work plans from real-time asset health, with accurate time estimates and fewer manual steps.
Improve technician efficiency with guided field maintenance
Deliver in-context work instructions, permits, and documents to reduce delays and rework.
Asset management assistants that work for you
Set direction across end-to-end industry processes and your assistants will coordinate agents to execute routine work across apps, data, and workflows.
Use business goals and outcomes to influence asset management strategy and execution directly.
$25–35
M
reduction in asset downtime*
$10–20
M
reduction in maintenance personnel cost*
$2–5
M
reduction in planning and scheduling cost*
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Dr. Thomas Michel, COO RWE Offshore Wind
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