01 · Connect
The systems you already run:
- EAM / CMMS
- SCADA, OT & IoT sensors
- ERP transactions
- BIM & GIS engineering models
- System event logs
Test decisions before you make them — a technology-led path to asset performance.
A twin is simply a living, data-fed model of something real — current enough to trust and detailed enough to test decisions against.
"Capital and maintenance decisions made on incomplete information, fragmented systems and gut feel."
Decisions made with evidence — lifecycle cost, criticality and condition.
"The model reflects the backlog of unentered work, not the asset."
Asset data engineered current enough to trust.
"Interventions committed before they can be tested."
Interventions tested before capital is committed.
The systems you already run:
Two living twins:
Decisions you can point at:
No new platform. The systems you already run, connected — an enterprise-wide line of sight, current enough to trust and detailed enough to test decisions against.
A twin is simply a living, data-fed model of something real — current enough to trust and detailed enough to test decisions against. The process twin shows how your work actually flows — rebuilt continuously from the systems you already run. The digital twin of the asset shows the physical thing — its condition, configuration and history — current enough to trust for capital, maintenance and risk decisions before money is committed.
An interactive demonstration of asset-value thinking — condition, risk and intervention trade-offs you can play with.
VCG Advisory built an advanced Digital Twin for Sunwater, enabling real-time monitoring and predictive management of Queensland’s water infrastructure. Integrating BIM, GIS, and SAP S/4HANA, the solution delivers powerful analytics, optimised asset performance, and improved customer experience. The platform provides stakeholders with a unified, data-driven view — turning operational insights into actionable decisions.
The operating model for long-lived assets — and the intelligence to optimise their performance, risk and capital across the whole lifecycle.
Asset-intensive organisations carry enormous value on the balance sheet and enormous risk in the field — yet capital and maintenance decisions are too often made on incomplete information, fragmented systems and gut feel. We build the operating model, the maturity and the digital intelligence to make those decisions with evidence.
Design the policies, strategy (SAMP), processes, roles and information flows that an effective asset management system needs — aligned to ISO 55000/55001/55002. Connect strategic asset management planning to day-to-day operational reality.
Benchmark current capability against the IAM Maturity Scale and the GFMAM 39 Subjects, identify the gaps that matter most, and build a sequenced improvement roadmap that is fundable and defensible.
Bring rigour to capital and maintenance decisions: lifecycle cost and NPV analysis, asset criticality assessment, and reliability-centred maintenance strategy — so spend follows risk and value, not habit.
Build living models that simulate scenarios, test interventions and optimise asset performance before capital is committed — from BIM-anchored asset information through to real-time operational twins, governed by the CDBB Gemini Principles.
Explore the asset demo live →We design digital twins that mirror real-world processes and systems — not theoretical models. By combining operational data, process intelligence and simulation, a twin lets you test scenarios, evaluate trade-offs and predict outcomes before committing to change. Risk goes down; decision quality goes up.
For a major defence estate with a $65B+ asset portfolio and $4.5B+ annual operating budget, we led the digital transformation of the enterprise business processes underpinning asset and estate management — using process mining to diagnose value leakage and a digital twin anchored to a unified operating model, value framework and performance dashboards.
AI recommendations about assets are only as good as the model of the assets they reason over. A current, data-fed twin gives AI the context it needs — and gives you a way to test its recommendations before you act on them.
Twins, asset data engineering and EAM/OT — the asset picture current enough to trust.
The unglamorous half of every twin: condition, configuration and history engineered into data current enough to trust — so the model reflects the asset, not the backlog of unentered work.
The systems of record the twin feeds from — IBM Maximo, IFS, Hexagon, SAP PM — connected to the operational picture so maintenance, capital and risk read from the same truth.
Bentley iTwin, AVEVA, Azure Digital Twins and Esri — BIM-anchored asset information through to real-time operational twins, governed by the CDBB Gemini Principles.
Interventions tested before capital is committed, maintenance targeted by condition and criticality, and a defensible line from asset data to the capital case.
We bring a build accelerator to every asset-twin engagement. AMDT creates a living digital twin of physical assets by integrating SAP asset and maintenance modules, IoT and operational telemetry, predictive AI models, and process mining across maintenance workflows; QDIS adds diagnostic intelligence, anomaly detection and performance optimisation on top.
The result is a performance control tower — from reactive operations to intelligent resilience. Advisory shapes and assures the engagement; VCG Digital builds and enables the accelerator.
BIM and public-infrastructure policy compliance → See how process mining works — live demo →