Promoted Content: AI-Driven Virtual Twin Experience for Capital Intensive Programs

Imagine building a new nuclear facility with over 6000 rooms, each containing 1,800 items - nearly four million parts to design, manufacture, and install. Or launching a new aircraft program with one million parts and 3,500 suppliers. One late delivery can snowball into delays costing millions per day - plus penalties up to 15% of your total investment. Today, only 2.5% of companies can complete 100% of their projects on time, and a staggering 80-90% of program data remains unstructured.

Whether serving energy, aerospace, or automotive clients, managing large-scale, multi-year programs requires seamless coordination across engineering, manufacturing, procurement, and costing. Most intensive projects - from nuclear plants to aircraft programs -  generate a large amount of data. Even with sophisticated project plans, teams struggle to see how one late shipment, design change, or missing part will impact the broader timeline. To decrease risks and increase productivity in the construction of capital projects, companies need to anticipate, understand, and mitigate the consequences of inevitable changes throughout the program lifecycle.