Agentic ai-based systems and methods for context-aware building construction and maintenance management

Abstract

Methods, systems, and apparatus for intelligent planning, monitoring, and management of building construction or maintenance projects using Agentic artificial intelligence (AI). A controller operating an AI agent receives a design plan including a spatial layout and building elements, and converts it into a dynamic interactive model comprising interactive components. The AI agent receives contextual data from sources such as IoT devices, BMS systems, user locations, weather services, vendor databases, and calendars. An interactive user interface is generated for user interaction via verbal, textual, or gestural input. Using multi-modal input correlation and natural language processing, the AI agent interprets user intent and autonomously initiates actions including task scheduling, material procurement, and device control. The AI agent may coordinate with sub-agents on other user devices for collaborative management. Real-time updates, simulation walkthroughs, and predictive alerts enable dynamic execution, thereby enhancing operational efficiency and decision-making throughout construction and maintenance phases.