A digital twin program often fails before procurement begins. The failure is not usually caused by the simulation engine or visualization layer; it is caused by unclear business problems, poor source-of-truth rules, weak data and model quality, and no operating model after go-live.
TwinGrid starts by asking what operational, planning, asset, outage, DER, resilience, and customer-service problems the digital twin must solve. Only after that should architecture, sourcing, vendors, and implementation be defined.
The strongest digital twin programs create a decision trail from business problem to use case, from use case to data and model requirements, from requirements to architecture, and from architecture to procurement and implementation governance.