Asset Life Cycle (ALC)

GDD’s ALC solution leverages agentic AI, real-time data, and adaptive decision-making to optimise assets across their full lifecycle—enhancing performance, safety, compliance, and cost efficiency.

Strategic Asset Management

  • Unified Data Model: Single, governed asset hierarchy from design to decommissioning, ensuring AI-readiness and legacy system interoperability.
  • Lifecycle Intelligence: Condition, performance, criticality, and cost captured at every stage for AI-driven optimisation.
  • Rapid Portfolio Scaling: Validated models applied portfolio-wide in weeks, enabling consistent TCO tracking.
  • Investor-Grade Confidence: Auditable models underpin credible reporting, regulatory compliance, and capital allocation decisions.

Maintenance Management

  • Structured Defect Capture: Criticality, condition, and fault data feed directly into the asset model for predictive analytics.
  • Criticality-Linked Actions: Assets ranked by regulatory, contract, operational, and financial risk to guide AI-driven maintenance scheduling.
  • Predictive & Adaptive Planning: Agentic AI continuously adjusts maintenance priorities based on live asset health and external factors.
  • Seamless Integration: Asset models are API-ready, feeding CMMS/ERP/EAM systems without ICT disruption.

Applied Examples

Mining Company: Historical drilling, operational, and cost data is ingested into a Software 3.0–ready model. Within three weeks, AI produces a quantified risk screen for investment decisions; within 21 weeks, the entire portfolio is reassessed using the same repeatable, auditable structure.

Motorway Tunnel Network: The Software 3.0–ready asset model identifies ventilation as a high-cost, high-risk system. AI recommends targeted reliability improvements, delivering measurable Opex savings in 12 months and scaling the method to other critical systems.

Next Steps

Optimise your assets with AI-driven lifecycle management.
Contact us today to schedule a personalised demo, review your data requirements, and begin your deployment.

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