Predictor is an AI-powered capital planning and predictive asset lifecycle management platform developed by Siemens for organizations managing facilities, infrastructure, and other physical assets. The software uses predictive modeling to forecast asset deterioration, future maintenance requirements, service levels, and long-term investment needs. Its asset health analysis evaluates individual components, assets, asset types, and asset classes to identify potential risks and prioritize interventions. Users can model increased, decreased, or fixed funding scenarios to understand how different budgets affect asset condition and performance over time. Capital planning tools help organizations determine optimal maintenance treatments, replacement schedules, and investment strategies based on available funding. Predictor generates financial forecasts, lifecycle reports, capital works programs, and visual comparisons that support evidence-based budget requests. Its AI-enhanced dashboards provide insights into portfolio condition, investment requirements, projected service levels, and the consequences of deferred maintenance. Integration with Siemens Work Planner enables GIS-based visualization of assets, geographic project planning, and coordination of capital improvements across different infrastructure systems. Predictor is designed for government agencies, educational institutions, infrastructure operators, and asset-intensive organizations seeking to improve long-term financial planning and maximize asset lifespans.